alpha diversity of functions
## salinity SST PO4_umol.l
## salinity 1.00000000 0.57540540 -0.6828060
## SST 0.57540540 1.00000000 -0.6302509
## PO4_umol.l -0.68280605 -0.63025085 1.0000000
## Si_umol.l -0.16830561 0.21170774 0.1432568
## NO3_umol.l -0.60194363 -0.58370559 0.9560053
## oxygen.umol.l. -0.66699610 -0.93734473 0.6531651
## distance_to_province_boundary.km. 0.11064621 0.42951074 -0.0878697
## Total.N..nmol.L. -0.48329642 -0.49266453 0.4549196
## Total.C..nmol.L. -0.47038064 -0.51942887 0.4290759
## chlorophyll -0.64615522 -0.53369153 0.5404505
## Distance_coast.km. -0.06131868 0.66631155 -0.1848614
## Shannon.auto.euk 0.58225737 0.61516489 -0.4785243
## Shannon.auto.cynao 0.05172859 0.03903127 -0.2174482
## Shannon.mixo 0.47777389 0.75039087 -0.4562699
## Shannon.het.euk 0.44801855 0.67512798 -0.4078585
## Shannon.het.prok 0.23353001 0.43438970 -0.3105365
## Si_umol.l NO3_umol.l oxygen.umol.l.
## salinity -0.16830561 -0.60194363 -0.66699610
## SST 0.21170774 -0.58370559 -0.93734473
## PO4_umol.l 0.14325676 0.95600527 0.65316510
## Si_umol.l 1.00000000 0.20017106 -0.09261576
## NO3_umol.l 0.20017106 1.00000000 0.62055758
## oxygen.umol.l. -0.09261576 0.62055758 1.00000000
## distance_to_province_boundary.km. 0.10664541 -0.01905593 -0.38936817
## Total.N..nmol.L. 0.02602950 0.36938122 0.58937772
## Total.C..nmol.L. 0.01338395 0.34130023 0.62726369
## chlorophyll -0.06754989 0.38165942 0.57112731
## Distance_coast.km. 0.30416880 -0.14808760 -0.60797051
## Shannon.auto.euk -0.07662397 -0.35429896 -0.65943334
## Shannon.auto.cynao -0.11810890 -0.24644504 -0.21949313
## Shannon.mixo 0.11746228 -0.39175783 -0.75896855
## Shannon.het.euk 0.01317759 -0.35512733 -0.76374596
## Shannon.het.prok -0.04567720 -0.30577210 -0.58265406
## distance_to_province_boundary.km.
## salinity 0.11064621
## SST 0.42951074
## PO4_umol.l -0.08786970
## Si_umol.l 0.10664541
## NO3_umol.l -0.01905593
## oxygen.umol.l. -0.38936817
## distance_to_province_boundary.km. 1.00000000
## Total.N..nmol.L. -0.33237931
## Total.C..nmol.L. -0.38563763
## chlorophyll -0.27485080
## Distance_coast.km. 0.59816766
## Shannon.auto.euk 0.33220665
## Shannon.auto.cynao 0.02877739
## Shannon.mixo 0.42199027
## Shannon.het.euk 0.35577555
## Shannon.het.prok 0.28474645
## Total.N..nmol.L. Total.C..nmol.L. chlorophyll
## salinity -0.4832964 -0.47038064 -0.64615522
## SST -0.4926645 -0.51942887 -0.53369153
## PO4_umol.l 0.4549196 0.42907590 0.54045047
## Si_umol.l 0.0260295 0.01338395 -0.06754989
## NO3_umol.l 0.3693812 0.34130023 0.38165942
## oxygen.umol.l. 0.5893777 0.62726369 0.57112731
## distance_to_province_boundary.km. -0.3323793 -0.38563763 -0.27485080
## Total.N..nmol.L. 1.0000000 0.98367406 0.70964936
## Total.C..nmol.L. 0.9836741 1.00000000 0.70400456
## chlorophyll 0.7096494 0.70400456 1.00000000
## Distance_coast.km. -0.3451064 -0.40730206 -0.16971854
## Shannon.auto.euk -0.7254985 -0.73780734 -0.63499079
## Shannon.auto.cynao -0.1786156 -0.19810550 -0.03340140
## Shannon.mixo -0.5189190 -0.53318159 -0.46916558
## Shannon.het.euk -0.5165724 -0.56449922 -0.36488396
## Shannon.het.prok -0.3458171 -0.39159216 -0.19785706
## Distance_coast.km. Shannon.auto.euk
## salinity -0.06131868 0.582257369
## SST 0.66631155 0.615164890
## PO4_umol.l -0.18486137 -0.478524265
## Si_umol.l 0.30416880 -0.076623974
## NO3_umol.l -0.14808760 -0.354298957
## oxygen.umol.l. -0.60797051 -0.659433341
## distance_to_province_boundary.km. 0.59816766 0.332206655
## Total.N..nmol.L. -0.34510637 -0.725498521
## Total.C..nmol.L. -0.40730206 -0.737807344
## chlorophyll -0.16971854 -0.634990791
## Distance_coast.km. 1.00000000 0.407132887
## Shannon.auto.euk 0.40713289 1.000000000
## Shannon.auto.cynao 0.17403345 0.004737561
## Shannon.mixo 0.59904027 0.700528031
## Shannon.het.euk 0.63457042 0.615499035
## Shannon.het.prok 0.49826102 0.273295256
## Shannon.auto.cynao Shannon.mixo
## salinity 0.051728588 0.4777739
## SST 0.039031269 0.7503909
## PO4_umol.l -0.217448203 -0.4562699
## Si_umol.l -0.118108904 0.1174623
## NO3_umol.l -0.246445037 -0.3917578
## oxygen.umol.l. -0.219493132 -0.7589686
## distance_to_province_boundary.km. 0.028777391 0.4219903
## Total.N..nmol.L. -0.178615608 -0.5189190
## Total.C..nmol.L. -0.198105501 -0.5331816
## chlorophyll -0.033401395 -0.4691656
## Distance_coast.km. 0.174033450 0.5990403
## Shannon.auto.euk 0.004737561 0.7005280
## Shannon.auto.cynao 1.000000000 0.1439196
## Shannon.mixo 0.143919629 1.0000000
## Shannon.het.euk 0.358339486 0.7173753
## Shannon.het.prok 0.630939432 0.4288556
## Shannon.het.euk Shannon.het.prok
## salinity 0.44801855 0.2335300
## SST 0.67512798 0.4343897
## PO4_umol.l -0.40785855 -0.3105365
## Si_umol.l 0.01317759 -0.0456772
## NO3_umol.l -0.35512733 -0.3057721
## oxygen.umol.l. -0.76374596 -0.5826541
## distance_to_province_boundary.km. 0.35577555 0.2847465
## Total.N..nmol.L. -0.51657236 -0.3458171
## Total.C..nmol.L. -0.56449922 -0.3915922
## chlorophyll -0.36488396 -0.1978571
## Distance_coast.km. 0.63457042 0.4982610
## Shannon.auto.euk 0.61549903 0.2732953
## Shannon.auto.cynao 0.35833949 0.6309394
## Shannon.mixo 0.71737533 0.4288556
## Shannon.het.euk 1.00000000 0.6779220
## Shannon.het.prok 0.67792196 1.0000000
## salinity SST PO4_umol.l
## salinity 1.00000000 0.9192503 -0.82939966
## SST 0.91925027 1.0000000 -0.85119075
## PO4_umol.l -0.82939966 -0.8511908 1.00000000
## Si_umol.l 0.08117764 0.3993385 -0.16365099
## NO3_umol.l -0.71843438 -0.8444573 0.93992052
## oxygen.umol.l. -0.90877023 -0.9738099 0.92325329
## distance_to_province_boundary.km. 0.29758069 0.2778384 0.06150449
## Total.N..nmol.L. -0.75304616 -0.8580825 0.58283905
## Total.C..nmol.L. -0.83189610 -0.8977495 0.66165365
## chlorophyll -0.27211693 -0.1557953 -0.17331604
## Distance_coast.km. 0.30731916 0.4334302 -0.05266322
## Shannon.auto.euk 0.75526928 0.8482848 -0.53977231
## Shannon.auto.cynao 0.89812260 0.8641590 -0.63308517
## Shannon.mixo 0.71352689 0.5596929 -0.54630729
## Shannon.het.euk 0.47122791 0.3054058 -0.50391604
## Shannon.het.prok 0.92384986 0.9257955 -0.68306963
## Si_umol.l NO3_umol.l oxygen.umol.l.
## salinity 0.08117764 -0.71843438 -0.90877023
## SST 0.39933849 -0.84445730 -0.97380993
## PO4_umol.l -0.16365099 0.93992052 0.92325329
## Si_umol.l 1.00000000 -0.30202836 -0.31530784
## NO3_umol.l -0.30202836 1.00000000 0.92719648
## oxygen.umol.l. -0.31530784 0.92719648 1.00000000
## distance_to_province_boundary.km. 0.05704953 -0.05037638 -0.23075426
## Total.N..nmol.L. -0.43173091 0.67816023 0.82070409
## Total.C..nmol.L. -0.33461459 0.73209726 0.87883388
## chlorophyll -0.05852504 -0.17148549 0.07823087
## Distance_coast.km. 0.19668400 -0.19324353 -0.33397633
## Shannon.auto.euk 0.33370326 -0.62756920 -0.79779539
## Shannon.auto.cynao 0.14439278 -0.63689357 -0.84965882
## Shannon.mixo -0.11484789 -0.45594197 -0.61023787
## Shannon.het.euk -0.41937714 -0.46784700 -0.45901150
## Shannon.het.prok 0.32849633 -0.61864836 -0.84704987
## distance_to_province_boundary.km.
## salinity 0.29758069
## SST 0.27783840
## PO4_umol.l 0.06150449
## Si_umol.l 0.05704953
## NO3_umol.l -0.05037638
## oxygen.umol.l. -0.23075426
## distance_to_province_boundary.km. 1.00000000
## Total.N..nmol.L. -0.50130387
## Total.C..nmol.L. -0.52804037
## chlorophyll -0.81403401
## Distance_coast.km. 0.30597715
## Shannon.auto.euk 0.69483769
## Shannon.auto.cynao 0.62820552
## Shannon.mixo 0.55648325
## Shannon.het.euk 0.30348090
## Shannon.het.prok 0.38494474
## Total.N..nmol.L. Total.C..nmol.L. chlorophyll
## salinity -0.7530462 -0.8318961 -0.27211693
## SST -0.8580825 -0.8977495 -0.15579526
## PO4_umol.l 0.5828390 0.6616537 -0.17331604
## Si_umol.l -0.4317309 -0.3346146 -0.05852504
## NO3_umol.l 0.6781602 0.7320973 -0.17148549
## oxygen.umol.l. 0.8207041 0.8788339 0.07823087
## distance_to_province_boundary.km. -0.5013039 -0.5280404 -0.81403401
## Total.N..nmol.L. 1.0000000 0.9855648 0.46505531
## Total.C..nmol.L. 0.9855648 1.0000000 0.44987456
## chlorophyll 0.4650553 0.4498746 1.00000000
## Distance_coast.km. -0.6760238 -0.6126381 -0.23095229
## Shannon.auto.euk -0.8368204 -0.8781902 -0.40861699
## Shannon.auto.cynao -0.8595447 -0.9238800 -0.49486658
## Shannon.mixo -0.3694825 -0.5039706 -0.37084771
## Shannon.het.euk -0.1304362 -0.2830640 -0.02197433
## Shannon.het.prok -0.8699942 -0.8916954 -0.42796606
## Distance_coast.km. Shannon.auto.euk
## salinity 0.30731916 0.7552693
## SST 0.43343019 0.8482848
## PO4_umol.l -0.05266322 -0.5397723
## Si_umol.l 0.19668400 0.3337033
## NO3_umol.l -0.19324353 -0.6275692
## oxygen.umol.l. -0.33397633 -0.7977954
## distance_to_province_boundary.km. 0.30597715 0.6948377
## Total.N..nmol.L. -0.67602378 -0.8368204
## Total.C..nmol.L. -0.61263813 -0.8781902
## chlorophyll -0.23095229 -0.4086170
## Distance_coast.km. 1.00000000 0.5473555
## Shannon.auto.euk 0.54735554 1.0000000
## Shannon.auto.cynao 0.47817209 0.9153357
## Shannon.mixo -0.16318239 0.6393873
## Shannon.het.euk -0.24898129 0.3639125
## Shannon.het.prok 0.48892435 0.8034138
## Shannon.auto.cynao Shannon.mixo
## salinity 0.8981226 0.7135269
## SST 0.8641590 0.5596929
## PO4_umol.l -0.6330852 -0.5463073
## Si_umol.l 0.1443928 -0.1148479
## NO3_umol.l -0.6368936 -0.4559420
## oxygen.umol.l. -0.8496588 -0.6102379
## distance_to_province_boundary.km. 0.6282055 0.5564833
## Total.N..nmol.L. -0.8595447 -0.3694825
## Total.C..nmol.L. -0.9238800 -0.5039706
## chlorophyll -0.4948666 -0.3708477
## Distance_coast.km. 0.4781721 -0.1631824
## Shannon.auto.euk 0.9153357 0.6393873
## Shannon.auto.cynao 1.0000000 0.7566961
## Shannon.mixo 0.7566961 1.0000000
## Shannon.het.euk 0.5163001 0.8288185
## Shannon.het.prok 0.8700087 0.5216297
## Shannon.het.euk Shannon.het.prok
## salinity 0.47122791 0.9238499
## SST 0.30540576 0.9257955
## PO4_umol.l -0.50391604 -0.6830696
## Si_umol.l -0.41937714 0.3284963
## NO3_umol.l -0.46784700 -0.6186484
## oxygen.umol.l. -0.45901150 -0.8470499
## distance_to_province_boundary.km. 0.30348090 0.3849447
## Total.N..nmol.L. -0.13043616 -0.8699942
## Total.C..nmol.L. -0.28306401 -0.8916954
## chlorophyll -0.02197433 -0.4279661
## Distance_coast.km. -0.24898129 0.4889243
## Shannon.auto.euk 0.36391245 0.8034138
## Shannon.auto.cynao 0.51630014 0.8700087
## Shannon.mixo 0.82881847 0.5216297
## Shannon.het.euk 1.00000000 0.1460287
## Shannon.het.prok 0.14602867 1.0000000
## salinity SST PO4_umol.l
## salinity 1.00000000 0.73694375 -0.04892697
## SST 0.73694375 1.00000000 -0.16786816
## PO4_umol.l -0.04892697 -0.16786816 1.00000000
## Si_umol.l -0.05978916 0.01972349 0.17603325
## NO3_umol.l -0.09243063 -0.09547460 0.83194973
## oxygen.umol.l. -0.67483289 -0.80787136 0.16313056
## distance_to_province_boundary.km. -0.28678052 -0.64877062 0.07562858
## Total.N..nmol.L. -0.48589932 -0.70355201 0.21877027
## Total.C..nmol.L. -0.32758019 -0.46938977 0.27196502
## chlorophyll -0.53287105 -0.72545158 0.30087402
## Distance_coast.km. 0.01535381 -0.22251556 -0.05173560
## Shannon.auto.euk 0.55433528 0.78461214 -0.29755516
## Shannon.auto.cynao -0.70663477 -0.96641549 0.24770172
## Shannon.mixo 0.10108564 0.30160370 0.03095011
## Shannon.het.euk 0.01158799 0.25304383 -0.23892508
## Shannon.het.prok -0.21447862 -0.45829503 0.03033972
## Si_umol.l NO3_umol.l oxygen.umol.l.
## salinity -0.05978916 -0.09243063 -0.6748329
## SST 0.01972349 -0.09547460 -0.8078714
## PO4_umol.l 0.17603325 0.83194973 0.1631306
## Si_umol.l 1.00000000 0.55940105 0.1465304
## NO3_umol.l 0.55940105 1.00000000 0.1718969
## oxygen.umol.l. 0.14653035 0.17189695 1.0000000
## distance_to_province_boundary.km. -0.20739193 0.03731984 0.5012822
## Total.N..nmol.L. 0.20952334 0.09109798 0.5189096
## Total.C..nmol.L. 0.48347840 0.28776904 0.3925505
## chlorophyll -0.06368110 0.07985273 0.4041581
## Distance_coast.km. -0.33828267 -0.08897653 0.1094145
## Shannon.auto.euk -0.23920639 -0.28593443 -0.5685089
## Shannon.auto.cynao 0.01627567 0.12849507 0.7625627
## Shannon.mixo 0.15875293 0.12995180 -0.1082281
## Shannon.het.euk -0.44030047 -0.46904895 -0.2700368
## Shannon.het.prok 0.07698821 -0.11879331 0.2620854
## distance_to_province_boundary.km.
## salinity -0.28678052
## SST -0.64877062
## PO4_umol.l 0.07562858
## Si_umol.l -0.20739193
## NO3_umol.l 0.03731984
## oxygen.umol.l. 0.50128221
## distance_to_province_boundary.km. 1.00000000
## Total.N..nmol.L. 0.21590637
## Total.C..nmol.L. 0.09975904
## chlorophyll 0.21313490
## Distance_coast.km. 0.84990835
## Shannon.auto.euk -0.19746183
## Shannon.auto.cynao 0.52796374
## Shannon.mixo -0.18183453
## Shannon.het.euk -0.18207683
## Shannon.het.prok 0.05570925
## Total.N..nmol.L. Total.C..nmol.L. chlorophyll
## salinity -0.48589932 -0.32758019 -0.53287105
## SST -0.70355201 -0.46938977 -0.72545158
## PO4_umol.l 0.21877027 0.27196502 0.30087402
## Si_umol.l 0.20952334 0.48347840 -0.06368110
## NO3_umol.l 0.09109798 0.28776904 0.07985273
## oxygen.umol.l. 0.51890964 0.39255048 0.40415806
## distance_to_province_boundary.km. 0.21590637 0.09975904 0.21313490
## Total.N..nmol.L. 1.00000000 0.89376939 0.78589631
## Total.C..nmol.L. 0.89376939 1.00000000 0.53997347
## chlorophyll 0.78589631 0.53997347 1.00000000
## Distance_coast.km. -0.14933504 -0.20190748 -0.06119686
## Shannon.auto.euk -0.78815425 -0.61864205 -0.72434017
## Shannon.auto.cynao 0.79598648 0.56862957 0.81977693
## Shannon.mixo -0.59155240 -0.43917973 -0.50361748
## Shannon.het.euk -0.26215958 -0.38480603 0.07888226
## Shannon.het.prok 0.53867468 0.44001903 0.44399221
## Distance_coast.km. Shannon.auto.euk
## salinity 0.01535381 0.5543353
## SST -0.22251556 0.7846121
## PO4_umol.l -0.05173560 -0.2975552
## Si_umol.l -0.33828267 -0.2392064
## NO3_umol.l -0.08897653 -0.2859344
## oxygen.umol.l. 0.10941445 -0.5685089
## distance_to_province_boundary.km. 0.84990835 -0.1974618
## Total.N..nmol.L. -0.14933504 -0.7881543
## Total.C..nmol.L. -0.20190748 -0.6186421
## chlorophyll -0.06119686 -0.7243402
## Distance_coast.km. 1.00000000 0.2866082
## Shannon.auto.euk 0.28660815 1.0000000
## Shannon.auto.cynao 0.08552209 -0.8310338
## Shannon.mixo -0.13668206 0.3949155
## Shannon.het.euk 0.04971518 0.4560939
## Shannon.het.prok -0.23796127 -0.4941537
## Shannon.auto.cynao Shannon.mixo
## salinity -0.70663477 0.101085644
## SST -0.96641549 0.301603705
## PO4_umol.l 0.24770172 0.030950110
## Si_umol.l 0.01627567 0.158752935
## NO3_umol.l 0.12849507 0.129951805
## oxygen.umol.l. 0.76256271 -0.108228149
## distance_to_province_boundary.km. 0.52796374 -0.181834527
## Total.N..nmol.L. 0.79598648 -0.591552396
## Total.C..nmol.L. 0.56862957 -0.439179729
## chlorophyll 0.81977693 -0.503617476
## Distance_coast.km. 0.08552209 -0.136682056
## Shannon.auto.euk -0.83103376 0.394915498
## Shannon.auto.cynao 1.00000000 -0.330536579
## Shannon.mixo -0.33053658 1.000000000
## Shannon.het.euk -0.14894491 0.151401664
## Shannon.het.prok 0.57829950 -0.009566115
## Shannon.het.euk Shannon.het.prok
## salinity 0.01158799 -0.214478618
## SST 0.25304383 -0.458295034
## PO4_umol.l -0.23892508 0.030339720
## Si_umol.l -0.44030047 0.076988210
## NO3_umol.l -0.46904895 -0.118793308
## oxygen.umol.l. -0.27003683 0.262085369
## distance_to_province_boundary.km. -0.18207683 0.055709245
## Total.N..nmol.L. -0.26215958 0.538674678
## Total.C..nmol.L. -0.38480603 0.440019033
## chlorophyll 0.07888226 0.443992213
## Distance_coast.km. 0.04971518 -0.237961268
## Shannon.auto.euk 0.45609388 -0.494153664
## Shannon.auto.cynao -0.14894491 0.578299505
## Shannon.mixo 0.15140166 -0.009566115
## Shannon.het.euk 1.00000000 0.046046518
## Shannon.het.prok 0.04604652 1.000000000
## salinity SST PO4_umol.l
## salinity 1.000000000 0.87920668 0.314468820
## SST 0.879206680 1.00000000 0.380796585
## PO4_umol.l 0.314468820 0.38079659 1.000000000
## Si_umol.l -0.644386205 -0.41951843 0.202465861
## NO3_umol.l 0.092247932 0.08918181 0.149267895
## oxygen.umol.l. -0.788654154 -0.91343452 -0.351109211
## distance_to_province_boundary.km. 0.531137392 0.74349898 0.154564190
## Total.N..nmol.L. 0.009897566 0.13025519 0.241510074
## Total.C..nmol.L. -0.418119044 -0.31684252 0.045087467
## chlorophyll -0.099727016 -0.08581525 -0.387357688
## Distance_coast.km. 0.222930838 0.20672528 0.003665338
## Shannon.auto.euk 0.122246647 0.06823518 -0.388087702
## Shannon.auto.cynao 0.361771251 0.15739875 0.181565330
## Shannon.mixo -0.112569002 0.02400567 0.112779200
## Shannon.het.euk 0.053058750 0.15625827 -0.310248425
## Shannon.het.prok -0.254080205 -0.01209513 -0.205245521
## Si_umol.l NO3_umol.l oxygen.umol.l.
## salinity -0.64438620 0.09224793 -0.78865415
## SST -0.41951843 0.08918181 -0.91343452
## PO4_umol.l 0.20246586 0.14926789 -0.35110921
## Si_umol.l 1.00000000 -0.17521392 0.40443652
## NO3_umol.l -0.17521392 1.00000000 -0.12159374
## oxygen.umol.l. 0.40443652 -0.12159374 1.00000000
## distance_to_province_boundary.km. -0.47907356 0.15201029 -0.80992719
## Total.N..nmol.L. 0.15615767 -0.13236799 -0.07139755
## Total.C..nmol.L. 0.29800360 -0.02881342 0.37127307
## chlorophyll 0.18297775 -0.06329816 0.24702525
## Distance_coast.km. -0.51528026 0.31524389 -0.43697883
## Shannon.auto.euk -0.30401402 -0.23749216 -0.17607028
## Shannon.auto.cynao -0.22888145 0.03349113 0.15234378
## Shannon.mixo -0.09338216 -0.03713669 -0.14105719
## Shannon.het.euk -0.28110156 -0.13109056 -0.22211825
## Shannon.het.prok 0.50289931 -0.09986340 0.10713117
## distance_to_province_boundary.km.
## salinity 0.5311374
## SST 0.7434990
## PO4_umol.l 0.1545642
## Si_umol.l -0.4790736
## NO3_umol.l 0.1520103
## oxygen.umol.l. -0.8099272
## distance_to_province_boundary.km. 1.0000000
## Total.N..nmol.L. -0.1310535
## Total.C..nmol.L. -0.3293941
## chlorophyll -0.3927781
## Distance_coast.km. 0.6468723
## Shannon.auto.euk 0.2986157
## Shannon.auto.cynao -0.2426556
## Shannon.mixo 0.5242450
## Shannon.het.euk 0.4711185
## Shannon.het.prok -0.1944195
## Total.N..nmol.L. Total.C..nmol.L. chlorophyll
## salinity 0.009897566 -0.418119044 -0.09972702
## SST 0.130255188 -0.316842517 -0.08581525
## PO4_umol.l 0.241510074 0.045087467 -0.38735769
## Si_umol.l 0.156157667 0.298003597 0.18297775
## NO3_umol.l -0.132367989 -0.028813421 -0.06329816
## oxygen.umol.l. -0.071397551 0.371273072 0.24702525
## distance_to_province_boundary.km. -0.131053464 -0.329394081 -0.39277806
## Total.N..nmol.L. 1.000000000 0.800899586 0.37897454
## Total.C..nmol.L. 0.800899586 1.000000000 0.33680601
## chlorophyll 0.378974537 0.336806007 1.00000000
## Distance_coast.km. -0.370947852 -0.340377118 -0.62372987
## Shannon.auto.euk -0.279841572 -0.227069364 -0.16306070
## Shannon.auto.cynao 0.032627621 0.078543332 0.09939665
## Shannon.mixo -0.174703800 0.057965135 -0.59483544
## Shannon.het.euk -0.006708630 -0.003711595 0.23012908
## Shannon.het.prok 0.202685361 0.146287852 0.60801232
## Distance_coast.km. Shannon.auto.euk
## salinity 0.222930838 0.12224665
## SST 0.206725279 0.06823518
## PO4_umol.l 0.003665338 -0.38808770
## Si_umol.l -0.515280256 -0.30401402
## NO3_umol.l 0.315243889 -0.23749216
## oxygen.umol.l. -0.436978828 -0.17607028
## distance_to_province_boundary.km. 0.646872313 0.29861565
## Total.N..nmol.L. -0.370947852 -0.27984157
## Total.C..nmol.L. -0.340377118 -0.22706936
## chlorophyll -0.623729872 -0.16306070
## Distance_coast.km. 1.000000000 0.46093617
## Shannon.auto.euk 0.460936175 1.00000000
## Shannon.auto.cynao -0.330171835 -0.06913777
## Shannon.mixo 0.617842840 0.43257060
## Shannon.het.euk 0.363611030 0.43123865
## Shannon.het.prok -0.509648603 -0.33834419
## Shannon.auto.cynao Shannon.mixo
## salinity 0.36177125 -0.11256900
## SST 0.15739875 0.02400567
## PO4_umol.l 0.18156533 0.11277920
## Si_umol.l -0.22888145 -0.09338216
## NO3_umol.l 0.03349113 -0.03713669
## oxygen.umol.l. 0.15234378 -0.14105719
## distance_to_province_boundary.km. -0.24265558 0.52424496
## Total.N..nmol.L. 0.03262762 -0.17470380
## Total.C..nmol.L. 0.07854333 0.05796514
## chlorophyll 0.09939665 -0.59483544
## Distance_coast.km. -0.33017183 0.61784284
## Shannon.auto.euk -0.06913777 0.43257060
## Shannon.auto.cynao 1.00000000 -0.19622480
## Shannon.mixo -0.19622480 1.00000000
## Shannon.het.euk -0.32404429 0.38414736
## Shannon.het.prok -0.12226281 -0.48654072
## Shannon.het.euk Shannon.het.prok
## salinity 0.053058750 -0.25408020
## SST 0.156258268 -0.01209513
## PO4_umol.l -0.310248425 -0.20524552
## Si_umol.l -0.281101564 0.50289931
## NO3_umol.l -0.131090557 -0.09986340
## oxygen.umol.l. -0.222118249 0.10713117
## distance_to_province_boundary.km. 0.471118488 -0.19441955
## Total.N..nmol.L. -0.006708630 0.20268536
## Total.C..nmol.L. -0.003711595 0.14628785
## chlorophyll 0.230129084 0.60801232
## Distance_coast.km. 0.363611030 -0.50964860
## Shannon.auto.euk 0.431238653 -0.33834419
## Shannon.auto.cynao -0.324044285 -0.12226281
## Shannon.mixo 0.384147356 -0.48654072
## Shannon.het.euk 1.000000000 0.09656213
## Shannon.het.prok 0.096562134 1.00000000
## salinity SST PO4_umol.l
## salinity 1.00000000 -0.71809346 -0.70151225
## SST -0.71809346 1.00000000 0.17336786
## PO4_umol.l -0.70151225 0.17336786 1.00000000
## Si_umol.l 0.78044963 -0.30147132 -0.94433821
## NO3_umol.l 0.12592409 0.11092964 -0.27566435
## oxygen.umol.l. -0.07468744 0.34450008 -0.34254348
## distance_to_province_boundary.km. -0.08344985 0.17519046 -0.41890359
## Total.N..nmol.L. -0.33846056 -0.10626472 0.34699175
## Total.C..nmol.L. -0.29859842 -0.10041545 0.60421306
## chlorophyll -0.73397189 0.53074611 0.37754599
## Distance_coast.km. -0.35434962 0.41544450 -0.21363493
## Shannon.auto.euk -0.33639342 0.40746933 0.37348355
## Shannon.auto.cynao 0.07510064 -0.51225594 0.07962103
## Shannon.mixo 0.20453301 -0.39888507 0.01247210
## Shannon.het.euk 0.57775784 -0.65980880 -0.34748782
## Shannon.het.prok 0.13640992 -0.02302651 -0.47915183
## Si_umol.l NO3_umol.l oxygen.umol.l.
## salinity 0.78044963 0.12592409 -0.074687437
## SST -0.30147132 0.11092964 0.344500084
## PO4_umol.l -0.94433821 -0.27566435 -0.342543484
## Si_umol.l 1.00000000 0.30542196 0.224258253
## NO3_umol.l 0.30542196 1.00000000 0.505616474
## oxygen.umol.l. 0.22425825 0.50561647 1.000000000
## distance_to_province_boundary.km. 0.31286132 0.24848259 0.741790874
## Total.N..nmol.L. -0.38198230 0.15883729 0.273083023
## Total.C..nmol.L. -0.59643144 0.20153034 -0.118379410
## chlorophyll -0.54202034 -0.24773002 0.034096678
## Distance_coast.km. 0.09190984 0.23453313 0.709615169
## Shannon.auto.euk -0.44396437 0.23682493 0.173556736
## Shannon.auto.cynao -0.06458927 -0.12872043 -0.005918699
## Shannon.mixo 0.04823606 -0.14689672 0.011860116
## Shannon.het.euk 0.32755636 0.15312032 0.285254302
## Shannon.het.prok 0.37436525 0.09654104 0.604145439
## distance_to_province_boundary.km.
## salinity -0.08344985
## SST 0.17519046
## PO4_umol.l -0.41890359
## Si_umol.l 0.31286132
## NO3_umol.l 0.24848259
## oxygen.umol.l. 0.74179087
## distance_to_province_boundary.km. 1.00000000
## Total.N..nmol.L. 0.22336779
## Total.C..nmol.L. -0.37760879
## chlorophyll 0.14569155
## Distance_coast.km. 0.94707556
## Shannon.auto.euk -0.35552386
## Shannon.auto.cynao 0.19094787
## Shannon.mixo 0.24429203
## Shannon.het.euk 0.31589743
## Shannon.het.prok 0.77287299
## Total.N..nmol.L. Total.C..nmol.L. chlorophyll
## salinity -0.33846056 -0.29859842 -0.73397189
## SST -0.10626472 -0.10041545 0.53074611
## PO4_umol.l 0.34699175 0.60421306 0.37754599
## Si_umol.l -0.38198230 -0.59643144 -0.54202034
## NO3_umol.l 0.15883729 0.20153034 -0.24773002
## oxygen.umol.l. 0.27308302 -0.11837941 0.03409668
## distance_to_province_boundary.km. 0.22336779 -0.37760879 0.14569155
## Total.N..nmol.L. 1.00000000 0.47062813 0.30170130
## Total.C..nmol.L. 0.47062813 1.00000000 -0.05087915
## chlorophyll 0.30170130 -0.05087915 1.00000000
## Distance_coast.km. 0.23582121 -0.32312346 0.34591446
## Shannon.auto.euk 0.08714721 0.44929501 0.27246051
## Shannon.auto.cynao 0.51641267 0.21922886 0.10907501
## Shannon.mixo 0.06552701 0.14295359 -0.39258423
## Shannon.het.euk 0.36970788 -0.05893713 -0.24728016
## Shannon.het.prok 0.10961583 -0.34370757 0.10281594
## Distance_coast.km. Shannon.auto.euk
## salinity -0.35434962 -0.33639342
## SST 0.41544450 0.40746933
## PO4_umol.l -0.21363493 0.37348355
## Si_umol.l 0.09190984 -0.44396437
## NO3_umol.l 0.23453313 0.23682493
## oxygen.umol.l. 0.70961517 0.17355674
## distance_to_province_boundary.km. 0.94707556 -0.35552386
## Total.N..nmol.L. 0.23582121 0.08714721
## Total.C..nmol.L. -0.32312346 0.44929501
## chlorophyll 0.34591446 0.27246051
## Distance_coast.km. 1.00000000 -0.22428275
## Shannon.auto.euk -0.22428275 1.00000000
## Shannon.auto.cynao 0.05465687 -0.15432448
## Shannon.mixo 0.09232689 -0.45016088
## Shannon.het.euk 0.10719402 -0.13050706
## Shannon.het.prok 0.62888829 -0.25228223
## Shannon.auto.cynao Shannon.mixo
## salinity 0.075100639 0.20453301
## SST -0.512255940 -0.39888507
## PO4_umol.l 0.079621032 0.01247210
## Si_umol.l -0.064589270 0.04823606
## NO3_umol.l -0.128720427 -0.14689672
## oxygen.umol.l. -0.005918699 0.01186012
## distance_to_province_boundary.km. 0.190947865 0.24429203
## Total.N..nmol.L. 0.516412672 0.06552701
## Total.C..nmol.L. 0.219228856 0.14295359
## chlorophyll 0.109075008 -0.39258423
## Distance_coast.km. 0.054656873 0.09232689
## Shannon.auto.euk -0.154324485 -0.45016088
## Shannon.auto.cynao 1.000000000 0.36663161
## Shannon.mixo 0.366631613 1.00000000
## Shannon.het.euk 0.419973466 0.27255803
## Shannon.het.prok 0.296902717 0.29497292
## Shannon.het.euk Shannon.het.prok
## salinity 0.57775784 0.13640992
## SST -0.65980880 -0.02302651
## PO4_umol.l -0.34748782 -0.47915183
## Si_umol.l 0.32755636 0.37436525
## NO3_umol.l 0.15312032 0.09654104
## oxygen.umol.l. 0.28525430 0.60414544
## distance_to_province_boundary.km. 0.31589743 0.77287299
## Total.N..nmol.L. 0.36970788 0.10961583
## Total.C..nmol.L. -0.05893713 -0.34370757
## chlorophyll -0.24728016 0.10281594
## Distance_coast.km. 0.10719402 0.62888829
## Shannon.auto.euk -0.13050706 -0.25228223
## Shannon.auto.cynao 0.41997347 0.29690272
## Shannon.mixo 0.27255803 0.29497292
## Shannon.het.euk 1.00000000 0.39522627
## Shannon.het.prok 0.39522627 1.00000000
## salinity SST PO4_umol.l
## salinity 1.00000000 -0.61751121 -0.79331729
## SST -0.61751121 1.00000000 0.24882791
## PO4_umol.l -0.79331729 0.24882791 1.00000000
## Si_umol.l 0.11213391 -0.50196129 0.15156140
## NO3_umol.l -0.46815567 -0.19904066 0.83296152
## oxygen.umol.l. -0.04371799 -0.30226698 0.02864356
## distance_to_province_boundary.km. -0.62458259 0.27434618 0.70527422
## Total.N..nmol.L. -0.59382882 0.04283276 0.70869400
## Total.C..nmol.L. -0.57250097 0.03329655 0.66105820
## chlorophyll -0.67800291 0.08759356 0.74420785
## Distance_coast.km. -0.76321610 0.52376506 0.77153773
## Shannon.auto.euk 0.70166597 -0.55257100 -0.66065056
## Shannon.auto.cynao 0.63018309 -0.52975607 -0.67635615
## Shannon.mixo 0.34531292 -0.56899983 -0.30184730
## Shannon.het.euk 0.52034416 -0.14527922 -0.64337243
## Shannon.het.prok 0.03971981 0.31161930 -0.09834740
## Si_umol.l NO3_umol.l oxygen.umol.l.
## salinity 0.11213391 -0.46815567 -0.043717989
## SST -0.50196129 -0.19904066 -0.302266975
## PO4_umol.l 0.15156140 0.83296152 0.028643559
## Si_umol.l 1.00000000 0.57771852 0.393922579
## NO3_umol.l 0.57771852 1.00000000 0.257828081
## oxygen.umol.l. 0.39392258 0.25782808 1.000000000
## distance_to_province_boundary.km. -0.12402102 0.39418076 -0.176352516
## Total.N..nmol.L. 0.45725522 0.75736055 0.364746337
## Total.C..nmol.L. 0.46422318 0.72838524 0.510483088
## chlorophyll 0.26564284 0.72891716 0.422125278
## Distance_coast.km. -0.25245884 0.46003102 -0.094453949
## Shannon.auto.euk 0.13864126 -0.32480867 0.008191003
## Shannon.auto.cynao 0.05178447 -0.40027774 -0.119446440
## Shannon.mixo 0.18055465 0.01526297 0.531776829
## Shannon.het.euk -0.29667479 -0.54498027 -0.009492525
## Shannon.het.prok -0.56057071 -0.25587882 -0.433178651
## distance_to_province_boundary.km.
## salinity -0.6245826
## SST 0.2743462
## PO4_umol.l 0.7052742
## Si_umol.l -0.1240210
## NO3_umol.l 0.3941808
## oxygen.umol.l. -0.1763525
## distance_to_province_boundary.km. 1.0000000
## Total.N..nmol.L. 0.3442879
## Total.C..nmol.L. 0.3099963
## chlorophyll 0.3881561
## Distance_coast.km. 0.5966911
## Shannon.auto.euk -0.7046744
## Shannon.auto.cynao -0.6408806
## Shannon.mixo -0.4417136
## Shannon.het.euk -0.6666762
## Shannon.het.prok -0.1253249
## Total.N..nmol.L. Total.C..nmol.L. chlorophyll
## salinity -0.59382882 -0.57250097 -0.67800291
## SST 0.04283276 0.03329655 0.08759356
## PO4_umol.l 0.70869400 0.66105820 0.74420785
## Si_umol.l 0.45725522 0.46422318 0.26564284
## NO3_umol.l 0.75736055 0.72838524 0.72891716
## oxygen.umol.l. 0.36474634 0.51048309 0.42212528
## distance_to_province_boundary.km. 0.34428789 0.30999633 0.38815607
## Total.N..nmol.L. 1.00000000 0.97696292 0.86140528
## Total.C..nmol.L. 0.97696292 1.00000000 0.86399021
## chlorophyll 0.86140528 0.86399021 1.00000000
## Distance_coast.km. 0.51360323 0.49235325 0.62041803
## Shannon.auto.euk -0.40977982 -0.42022774 -0.48764606
## Shannon.auto.cynao -0.40731166 -0.42946707 -0.50757699
## Shannon.mixo 0.03853143 0.12726017 0.13314415
## Shannon.het.euk -0.42807049 -0.40123977 -0.35626694
## Shannon.het.prok -0.28929389 -0.35535504 -0.16790464
## Distance_coast.km. Shannon.auto.euk
## salinity -0.76321610 0.701665965
## SST 0.52376506 -0.552571001
## PO4_umol.l 0.77153773 -0.660650562
## Si_umol.l -0.25245884 0.138641261
## NO3_umol.l 0.46003102 -0.324808668
## oxygen.umol.l. -0.09445395 0.008191003
## distance_to_province_boundary.km. 0.59669110 -0.704674354
## Total.N..nmol.L. 0.51360323 -0.409779825
## Total.C..nmol.L. 0.49235325 -0.420227736
## chlorophyll 0.62041803 -0.487646059
## Distance_coast.km. 1.00000000 -0.788268279
## Shannon.auto.euk -0.78826828 1.000000000
## Shannon.auto.cynao -0.68676746 0.791413173
## Shannon.mixo -0.28950361 0.418627858
## Shannon.het.euk -0.50454707 0.597832648
## Shannon.het.prok 0.02910360 0.110597581
## Shannon.auto.cynao Shannon.mixo
## salinity 0.63018309 0.34531292
## SST -0.52975607 -0.56899983
## PO4_umol.l -0.67635615 -0.30184730
## Si_umol.l 0.05178447 0.18055465
## NO3_umol.l -0.40027774 0.01526297
## oxygen.umol.l. -0.11944644 0.53177683
## distance_to_province_boundary.km. -0.64088057 -0.44171357
## Total.N..nmol.L. -0.40731166 0.03853143
## Total.C..nmol.L. -0.42946707 0.12726017
## chlorophyll -0.50757699 0.13314415
## Distance_coast.km. -0.68676746 -0.28950361
## Shannon.auto.euk 0.79141317 0.41862786
## Shannon.auto.cynao 1.00000000 0.45520140
## Shannon.mixo 0.45520140 1.00000000
## Shannon.het.euk 0.56774931 0.43852811
## Shannon.het.prok 0.13669361 0.02025218
## Shannon.het.euk Shannon.het.prok
## salinity 0.520344159 0.03971981
## SST -0.145279219 0.31161930
## PO4_umol.l -0.643372432 -0.09834740
## Si_umol.l -0.296674786 -0.56057071
## NO3_umol.l -0.544980271 -0.25587882
## oxygen.umol.l. -0.009492525 -0.43317865
## distance_to_province_boundary.km. -0.666676198 -0.12532491
## Total.N..nmol.L. -0.428070486 -0.28929389
## Total.C..nmol.L. -0.401239775 -0.35535504
## chlorophyll -0.356266940 -0.16790464
## Distance_coast.km. -0.504547065 0.02910360
## Shannon.auto.euk 0.597832648 0.11059758
## Shannon.auto.cynao 0.567749308 0.13669361
## Shannon.mixo 0.438528111 0.02025218
## Shannon.het.euk 1.000000000 0.42838773
## Shannon.het.prok 0.428387727 1.00000000
## salinity SST PO4_umol.l Si_umol.l
## salinity 1.0000000 0.8006039 0.85111572 0.90084207
## SST 0.8006039 1.0000000 0.72718338 0.66233423
## PO4_umol.l 0.8511157 0.7271834 1.00000000 0.93501319
## Si_umol.l 0.9008421 0.6623342 0.93501319 1.00000000
## NO3_umol.l 0.8199221 0.4337361 0.83691666 0.90588006
## oxygen.umol.l. -0.9021413 -0.6235597 -0.89690456 -0.94776936
## distance_to_province_boundary.km. 0.3759016 0.1634751 0.04706224 0.09863302
## Total.N..nmol.L. 0.4851783 0.2752179 0.56192570 0.56780994
## Total.C..nmol.L. 0.4949755 0.2576365 0.68930716 0.69358510
## chlorophyll 0.5515748 0.5599866 0.70184811 0.60418830
## Distance_coast.km. 0.1569345 -0.2798908 0.03061925 0.21635416
## Shannon.auto.euk -0.7910566 -0.6107202 -0.70857130 -0.68069058
## Shannon.auto.cynao 0.5082126 0.3035102 0.82721556 0.74353594
## Shannon.mixo 0.3654565 0.3997138 0.24658715 0.38017127
## Shannon.het.euk 0.6715591 0.3723823 0.64959176 0.81769295
## Shannon.het.prok 0.4593688 0.4933059 0.38879696 0.35364352
## NO3_umol.l oxygen.umol.l.
## salinity 0.8199221 -0.9021413
## SST 0.4337361 -0.6235597
## PO4_umol.l 0.8369167 -0.8969046
## Si_umol.l 0.9058801 -0.9477694
## NO3_umol.l 1.0000000 -0.9621941
## oxygen.umol.l. -0.9621941 1.0000000
## distance_to_province_boundary.km. 0.3145325 -0.2637861
## Total.N..nmol.L. 0.6988588 -0.7432613
## Total.C..nmol.L. 0.7802326 -0.7776962
## chlorophyll 0.3436086 -0.4485343
## Distance_coast.km. 0.5461440 -0.3794775
## Shannon.auto.euk -0.5407050 0.6113689
## Shannon.auto.cynao 0.6911338 -0.6792376
## Shannon.mixo 0.2596966 -0.3656410
## Shannon.het.euk 0.7458783 -0.8071523
## Shannon.het.prok 0.1272909 -0.1884333
## distance_to_province_boundary.km.
## salinity 0.37590161
## SST 0.16347508
## PO4_umol.l 0.04706224
## Si_umol.l 0.09863302
## NO3_umol.l 0.31453254
## oxygen.umol.l. -0.26378614
## distance_to_province_boundary.km. 1.00000000
## Total.N..nmol.L. -0.01877927
## Total.C..nmol.L. -0.15638848
## chlorophyll -0.41606776
## Distance_coast.km. 0.56166639
## Shannon.auto.euk -0.04649712
## Shannon.auto.cynao -0.30848567
## Shannon.mixo 0.22003514
## Shannon.het.euk -0.12427033
## Shannon.het.prok -0.01112767
## Total.N..nmol.L. Total.C..nmol.L. chlorophyll
## salinity 0.48517828 0.4949755 0.5515748
## SST 0.27521794 0.2576365 0.5599866
## PO4_umol.l 0.56192570 0.6893072 0.7018481
## Si_umol.l 0.56780994 0.6935851 0.6041883
## NO3_umol.l 0.69885875 0.7802326 0.3436086
## oxygen.umol.l. -0.74326130 -0.7776962 -0.4485343
## distance_to_province_boundary.km. -0.01877927 -0.1563885 -0.4160678
## Total.N..nmol.L. 1.00000000 0.8696267 0.2295206
## Total.C..nmol.L. 0.86962674 1.0000000 0.3525237
## chlorophyll 0.22952059 0.3525237 1.0000000
## Distance_coast.km. 0.36029516 0.3702985 -0.5593124
## Shannon.auto.euk -0.29537818 -0.3197065 -0.8535084
## Shannon.auto.cynao 0.55840862 0.7138745 0.7494067
## Shannon.mixo 0.12232566 0.1318082 -0.1536801
## Shannon.het.euk 0.72102923 0.7225493 0.4504882
## Shannon.het.prok -0.19157700 -0.1947412 0.5366129
## Distance_coast.km. Shannon.auto.euk
## salinity 0.15693451 -0.79105659
## SST -0.27989081 -0.61072021
## PO4_umol.l 0.03061925 -0.70857130
## Si_umol.l 0.21635416 -0.68069058
## NO3_umol.l 0.54614401 -0.54070498
## oxygen.umol.l. -0.37947750 0.61136885
## distance_to_province_boundary.km. 0.56166639 -0.04649712
## Total.N..nmol.L. 0.36029516 -0.29537818
## Total.C..nmol.L. 0.37029845 -0.31970647
## chlorophyll -0.55931242 -0.85350839
## Distance_coast.km. 1.00000000 0.25435110
## Shannon.auto.euk 0.25435110 1.00000000
## Shannon.auto.cynao -0.03672657 -0.60617737
## Shannon.mixo 0.22264019 0.12336389
## Shannon.het.euk 0.26478352 -0.48680805
## Shannon.het.prok -0.40698435 -0.60083585
## Shannon.auto.cynao Shannon.mixo
## salinity 0.50821265 0.3654565
## SST 0.30351021 0.3997138
## PO4_umol.l 0.82721556 0.2465871
## Si_umol.l 0.74353594 0.3801713
## NO3_umol.l 0.69113384 0.2596966
## oxygen.umol.l. -0.67923761 -0.3656410
## distance_to_province_boundary.km. -0.30848567 0.2200351
## Total.N..nmol.L. 0.55840862 0.1223257
## Total.C..nmol.L. 0.71387445 0.1318082
## chlorophyll 0.74940671 -0.1536801
## Distance_coast.km. -0.03672657 0.2226402
## Shannon.auto.euk -0.60617737 0.1233639
## Shannon.auto.cynao 1.00000000 -0.1359090
## Shannon.mixo -0.13590895 1.0000000
## Shannon.het.euk 0.60279672 0.4362018
## Shannon.het.prok 0.19274597 0.1854086
## Shannon.het.euk Shannon.het.prok
## salinity 0.6715591 0.45936885
## SST 0.3723823 0.49330586
## PO4_umol.l 0.6495918 0.38879696
## Si_umol.l 0.8176929 0.35364352
## NO3_umol.l 0.7458783 0.12729087
## oxygen.umol.l. -0.8071523 -0.18843330
## distance_to_province_boundary.km. -0.1242703 -0.01112767
## Total.N..nmol.L. 0.7210292 -0.19157700
## Total.C..nmol.L. 0.7225493 -0.19474119
## chlorophyll 0.4504882 0.53661290
## Distance_coast.km. 0.2647835 -0.40698435
## Shannon.auto.euk -0.4868080 -0.60083585
## Shannon.auto.cynao 0.6027967 0.19274597
## Shannon.mixo 0.4362018 0.18540855
## Shannon.het.euk 1.0000000 0.13545864
## Shannon.het.prok 0.1354586 1.00000000
## salinity SST PO4_umol.l
## salinity 1.00000000 0.50735071 -0.1300205
## SST 0.50735071 1.00000000 0.3051762
## PO4_umol.l -0.13002050 0.30517624 1.0000000
## Si_umol.l -0.42700596 0.35606929 0.5446165
## NO3_umol.l -0.06616883 0.28638919 0.3752394
## oxygen.umol.l. -0.67493123 -0.42133998 0.4073784
## distance_to_province_boundary.km. 0.19038427 0.05160070 0.3154587
## Total.N..nmol.L. -0.27448249 -0.08022530 0.3171355
## Total.C..nmol.L. -0.29819600 0.07056475 0.3987944
## chlorophyll -0.71557158 -0.47908166 0.2085153
## Distance_coast.km. 0.58866279 0.78802565 0.2756108
## Shannon.auto.euk -0.08382627 -0.29919287 -0.2565724
## Shannon.auto.cynao -0.32094381 -0.13436747 0.3165222
## Shannon.mixo -0.04516231 -0.58794597 -0.3205543
## Shannon.het.euk -0.33440983 -0.50465938 -0.4576545
## Shannon.het.prok 0.24892857 -0.26870245 -0.5967856
## Si_umol.l NO3_umol.l oxygen.umol.l.
## salinity -0.42700596 -0.06616883 -0.67493123
## SST 0.35606929 0.28638919 -0.42133998
## PO4_umol.l 0.54461653 0.37523939 0.40737835
## Si_umol.l 1.00000000 0.27753455 0.11586495
## NO3_umol.l 0.27753455 1.00000000 0.29783164
## oxygen.umol.l. 0.11586495 0.29783164 1.00000000
## distance_to_province_boundary.km. -0.04729953 0.72576446 0.17918708
## Total.N..nmol.L. 0.09888521 0.17437001 0.54302848
## Total.C..nmol.L. 0.16123949 0.24927345 0.63657629
## chlorophyll 0.05151108 0.24518937 0.89452578
## Distance_coast.km. 0.22009260 0.45182022 -0.36709960
## Shannon.auto.euk -0.26858919 -0.31570464 -0.03594620
## Shannon.auto.cynao 0.02759324 0.54677937 0.72343669
## Shannon.mixo -0.67418712 -0.17459257 0.27188159
## Shannon.het.euk -0.35498501 -0.38147450 0.02698031
## Shannon.het.prok -0.28489403 -0.53259434 -0.58743720
## distance_to_province_boundary.km.
## salinity 0.19038427
## SST 0.05160070
## PO4_umol.l 0.31545868
## Si_umol.l -0.04729953
## NO3_umol.l 0.72576446
## oxygen.umol.l. 0.17918708
## distance_to_province_boundary.km. 1.00000000
## Total.N..nmol.L. 0.21187885
## Total.C..nmol.L. 0.23395082
## chlorophyll 0.20711218
## Distance_coast.km. 0.52905389
## Shannon.auto.euk -0.31125252
## Shannon.auto.cynao 0.65987743
## Shannon.mixo 0.02121727
## Shannon.het.euk -0.42675316
## Shannon.het.prok -0.29436966
## Total.N..nmol.L. Total.C..nmol.L. chlorophyll
## salinity -0.27448249 -0.29819600 -0.71557158
## SST -0.08022530 0.07056475 -0.47908166
## PO4_umol.l 0.31713547 0.39879444 0.20851530
## Si_umol.l 0.09888521 0.16123949 0.05151108
## NO3_umol.l 0.17437001 0.24927345 0.24518937
## oxygen.umol.l. 0.54302848 0.63657629 0.89452578
## distance_to_province_boundary.km. 0.21187885 0.23395082 0.20711218
## Total.N..nmol.L. 1.00000000 0.93899130 0.54161975
## Total.C..nmol.L. 0.93899130 1.00000000 0.61918870
## chlorophyll 0.54161975 0.61918870 1.00000000
## Distance_coast.km. 0.15951420 0.22845231 -0.38793855
## Shannon.auto.euk -0.66569970 -0.61422359 -0.08987988
## Shannon.auto.cynao 0.61365264 0.72435461 0.79894872
## Shannon.mixo -0.32620860 -0.30234181 0.29698647
## Shannon.het.euk -0.47536100 -0.47522607 0.17408134
## Shannon.het.prok -0.39112285 -0.59872400 -0.46920634
## Distance_coast.km. Shannon.auto.euk
## salinity 0.5886628 -0.08382627
## SST 0.7880256 -0.29919287
## PO4_umol.l 0.2756108 -0.25657236
## Si_umol.l 0.2200926 -0.26858919
## NO3_umol.l 0.4518202 -0.31570464
## oxygen.umol.l. -0.3670996 -0.03594620
## distance_to_province_boundary.km. 0.5290539 -0.31125252
## Total.N..nmol.L. 0.1595142 -0.66569970
## Total.C..nmol.L. 0.2284523 -0.61422359
## chlorophyll -0.3879386 -0.08987988
## Distance_coast.km. 1.0000000 -0.54698988
## Shannon.auto.euk -0.5469899 1.00000000
## Shannon.auto.cynao 0.1717332 -0.27844662
## Shannon.mixo -0.5935621 0.75436679
## Shannon.het.euk -0.7565213 0.68360808
## Shannon.het.prok -0.2041773 0.41366007
## Shannon.auto.cynao Shannon.mixo
## salinity -0.32094381 -0.04516231
## SST -0.13436747 -0.58794597
## PO4_umol.l 0.31652223 -0.32055427
## Si_umol.l 0.02759324 -0.67418712
## NO3_umol.l 0.54677937 -0.17459257
## oxygen.umol.l. 0.72343669 0.27188159
## distance_to_province_boundary.km. 0.65987743 0.02121727
## Total.N..nmol.L. 0.61365264 -0.32620860
## Total.C..nmol.L. 0.72435461 -0.30234181
## chlorophyll 0.79894872 0.29698647
## Distance_coast.km. 0.17173325 -0.59356214
## Shannon.auto.euk -0.27844662 0.75436679
## Shannon.auto.cynao 1.00000000 0.14697832
## Shannon.mixo 0.14697832 1.00000000
## Shannon.het.euk -0.25906313 0.64739384
## Shannon.het.prok -0.53814129 0.22997851
## Shannon.het.euk Shannon.het.prok
## salinity -0.33440983 0.2489286
## SST -0.50465938 -0.2687024
## PO4_umol.l -0.45765451 -0.5967856
## Si_umol.l -0.35498501 -0.2848940
## NO3_umol.l -0.38147450 -0.5325943
## oxygen.umol.l. 0.02698031 -0.5874372
## distance_to_province_boundary.km. -0.42675316 -0.2943697
## Total.N..nmol.L. -0.47536100 -0.3911228
## Total.C..nmol.L. -0.47522607 -0.5987240
## chlorophyll 0.17408134 -0.4692063
## Distance_coast.km. -0.75652126 -0.2041773
## Shannon.auto.euk 0.68360808 0.4136601
## Shannon.auto.cynao -0.25906313 -0.5381413
## Shannon.mixo 0.64739384 0.2299785
## Shannon.het.euk 1.00000000 0.4109484
## Shannon.het.prok 0.41094836 1.0000000
## chlorophyll PPAVG specific_PP Shannon.auto.euk
## chlorophyll 1.0000000 0.4594386 -0.16190964 -0.65239347
## PPAVG 0.4594386 1.0000000 0.51069107 -0.65636323
## specific_PP -0.1619096 0.5106911 1.00000000 -0.13890292
## Shannon.auto.euk -0.6523935 -0.6563632 -0.13890292 1.00000000
## Shannon.auto.cynao -0.2053480 -0.1823733 -0.08449467 0.09241527
## Shannon.mixo -0.5061494 -0.3327072 0.12685245 0.72116138
## Shannon.het.euk -0.4138155 -0.3350151 0.09334712 0.70187062
## Shannon.het.prok -0.2606347 -0.1826148 0.03557413 0.41412157
## biomass_transport 0.6163046 -0.1772529 -0.48301775 -0.11904393
## Shannon.auto.cynao Shannon.mixo Shannon.het.euk
## chlorophyll -0.20534802 -0.5061494 -0.41381552
## PPAVG -0.18237333 -0.3327072 -0.33501514
## specific_PP -0.08449467 0.1268524 0.09334712
## Shannon.auto.euk 0.09241527 0.7211614 0.70187062
## Shannon.auto.cynao 1.00000000 0.2766513 0.35794835
## Shannon.mixo 0.27665132 1.0000000 0.79974669
## Shannon.het.euk 0.35794835 0.7997467 1.00000000
## Shannon.het.prok 0.62360656 0.4437247 0.65516983
## biomass_transport -0.02611334 -0.2381098 -0.08839877
## Shannon.het.prok biomass_transport
## chlorophyll -0.26063467 0.61630462
## PPAVG -0.18261481 -0.17725291
## specific_PP 0.03557413 -0.48301775
## Shannon.auto.euk 0.41412157 -0.11904393
## Shannon.auto.cynao 0.62360656 -0.02611334
## Shannon.mixo 0.44372467 -0.23810982
## Shannon.het.euk 0.65516983 -0.08839877
## Shannon.het.prok 1.00000000 0.06323802
## biomass_transport 0.06323802 1.00000000
## chlorophyll PPAVG specific_PP Shannon.auto.euk
## chlorophyll 1.00000000 0.15769903 -0.3150017 -0.6914340
## PPAVG 0.15769903 1.00000000 0.8668742 -0.6143618
## specific_PP -0.31500171 0.86687424 1.0000000 -0.2904477
## Shannon.auto.euk -0.69143402 -0.61436185 -0.2904477 1.0000000
## Shannon.auto.cynao 0.97102328 0.16697948 -0.2797766 -0.7809692
## Shannon.mixo -0.21659787 -0.73192151 -0.6831985 0.4568567
## Shannon.het.euk 0.03499785 -0.41148161 -0.4204003 0.5804939
## Shannon.het.prok 0.73773529 -0.07372358 -0.5199886 -0.3402852
## biomass_transport -0.06521166 -0.67454539 -0.5571763 0.3511798
## Shannon.auto.cynao Shannon.mixo Shannon.het.euk
## chlorophyll 0.9710233 -0.2165979 0.03499785
## PPAVG 0.1669795 -0.7319215 -0.41148161
## specific_PP -0.2797766 -0.6831985 -0.42040034
## Shannon.auto.euk -0.7809692 0.4568567 0.58049393
## Shannon.auto.cynao 1.0000000 -0.2463451 -0.18295914
## Shannon.mixo -0.2463451 1.0000000 0.27492401
## Shannon.het.euk -0.1829591 0.2749240 1.00000000
## Shannon.het.prok 0.6443935 0.3800101 0.25625203
## biomass_transport -0.1292983 0.6114407 0.47671640
## Shannon.het.prok biomass_transport
## chlorophyll 0.73773529 -0.06521166
## PPAVG -0.07372358 -0.67454539
## specific_PP -0.51998859 -0.55717626
## Shannon.auto.euk -0.34028517 0.35117980
## Shannon.auto.cynao 0.64439350 -0.12929830
## Shannon.mixo 0.38001015 0.61144065
## Shannon.het.euk 0.25625203 0.47671640
## Shannon.het.prok 1.00000000 0.17626309
## biomass_transport 0.17626309 1.00000000
## chlorophyll PPAVG specific_PP Shannon.auto.euk
## chlorophyll 1.00000000 0.85219172 0.4924962 -0.1531551
## PPAVG 0.85219172 1.00000000 0.8702918 -0.3003338
## specific_PP 0.49249616 0.87029178 1.0000000 -0.4550799
## Shannon.auto.euk -0.15315515 -0.30033382 -0.4550799 1.0000000
## Shannon.auto.cynao 0.35290235 0.48295858 0.5005788 -0.4800869
## Shannon.mixo -0.71878634 -0.53113253 -0.2575265 0.4343310
## Shannon.het.euk 0.06021807 -0.07173421 -0.2514529 0.5909971
## Shannon.het.prok 0.56092788 0.66260830 0.6042235 -0.2609766
## biomass_transport -0.27135741 -0.34064641 -0.3750232 0.2519177
## Shannon.auto.cynao Shannon.mixo Shannon.het.euk
## chlorophyll 0.35290235 -0.718786338 0.06021807
## PPAVG 0.48295858 -0.531132530 -0.07173421
## specific_PP 0.50057884 -0.257526534 -0.25145293
## Shannon.auto.euk -0.48008686 0.434331033 0.59099707
## Shannon.auto.cynao 1.00000000 -0.063429178 -0.53328545
## Shannon.mixo -0.06342918 1.000000000 0.20294516
## Shannon.het.euk -0.53328545 0.202945165 1.00000000
## Shannon.het.prok -0.01353832 -0.724491589 -0.29445086
## biomass_transport -0.50682372 -0.008327368 0.53613441
## Shannon.het.prok biomass_transport
## chlorophyll 0.56092788 -0.271357410
## PPAVG 0.66260830 -0.340646409
## specific_PP 0.60422354 -0.375023173
## Shannon.auto.euk -0.26097665 0.251917704
## Shannon.auto.cynao -0.01353832 -0.506823722
## Shannon.mixo -0.72449159 -0.008327368
## Shannon.het.euk -0.29445086 0.536134408
## Shannon.het.prok 1.00000000 -0.227013279
## biomass_transport -0.22701328 1.000000000
## chlorophyll PPAVG specific_PP Shannon.auto.euk
## chlorophyll 1.00000000 0.03538157 -0.2217936 0.18643286
## PPAVG 0.03538157 1.00000000 0.9570629 -0.47249268
## specific_PP -0.22179360 0.95706289 1.0000000 -0.46479327
## Shannon.auto.euk 0.18643286 -0.47249268 -0.4647933 1.00000000
## Shannon.auto.cynao 0.52217115 0.28803241 0.2157468 -0.09783217
## Shannon.mixo -0.42831352 0.72627243 0.8098722 -0.54891155
## Shannon.het.euk -0.29520923 0.56976371 0.6933857 -0.22630610
## Shannon.het.prok 0.39460647 0.50611240 0.4121281 -0.09746624
## biomass_transport 0.83625924 -0.41650445 -0.6258140 0.29686101
## Shannon.auto.cynao Shannon.mixo Shannon.het.euk
## chlorophyll 0.52217115 -0.4283135 -0.2952092
## PPAVG 0.28803241 0.7262724 0.5697637
## specific_PP 0.21574678 0.8098722 0.6933857
## Shannon.auto.euk -0.09783217 -0.5489115 -0.2263061
## Shannon.auto.cynao 1.00000000 0.2179769 0.4931002
## Shannon.mixo 0.21797692 1.0000000 0.6209877
## Shannon.het.euk 0.49310016 0.6209877 1.0000000
## Shannon.het.prok 0.69819174 0.2069273 0.5121691
## biomass_transport 0.17066148 -0.7772132 -0.6809556
## Shannon.het.prok biomass_transport
## chlorophyll 0.39460647 0.83625924
## PPAVG 0.50611240 -0.41650445
## specific_PP 0.41212813 -0.62581400
## Shannon.auto.euk -0.09746624 0.29686101
## Shannon.auto.cynao 0.69819174 0.17066148
## Shannon.mixo 0.20692729 -0.77721320
## Shannon.het.euk 0.51216914 -0.68095561
## Shannon.het.prok 1.00000000 0.05160455
## biomass_transport 0.05160455 1.00000000
## chlorophyll PPAVG specific_PP Shannon.auto.euk
## chlorophyll 1.00000000 0.7366228 -0.04608833 -0.09923484
## PPAVG 0.73662280 1.0000000 0.62607376 -0.45018404
## specific_PP -0.04608833 0.6260738 1.00000000 -0.61028807
## Shannon.auto.euk -0.09923484 -0.4501840 -0.61028807 1.00000000
## Shannon.auto.cynao -0.39234089 -0.7086496 -0.62886116 0.69823008
## Shannon.mixo 0.28688453 0.0793110 -0.28495508 0.53351781
## Shannon.het.euk -0.29191802 -0.2906215 -0.20351255 0.52641735
## Shannon.het.prok -0.02167886 -0.1865895 -0.25907062 0.25418398
## biomass_transport 0.08502448 -0.3377927 -0.59694345 0.45406412
## Shannon.auto.cynao Shannon.mixo Shannon.het.euk
## chlorophyll -0.3923409 0.2868845 -0.29191802
## PPAVG -0.7086496 0.0793110 -0.29062147
## specific_PP -0.6288612 -0.2849551 -0.20351255
## Shannon.auto.euk 0.6982301 0.5335178 0.52641735
## Shannon.auto.cynao 1.0000000 0.3146896 0.41182688
## Shannon.mixo 0.3146896 1.0000000 0.39112846
## Shannon.het.euk 0.4118269 0.3911285 1.00000000
## Shannon.het.prok 0.3657107 0.1154261 0.47925100
## biomass_transport 0.5659768 0.4631646 0.05831986
## Shannon.het.prok biomass_transport
## chlorophyll -0.02167886 0.08502448
## PPAVG -0.18658950 -0.33779271
## specific_PP -0.25907062 -0.59694345
## Shannon.auto.euk 0.25418398 0.45406412
## Shannon.auto.cynao 0.36571066 0.56597684
## Shannon.mixo 0.11542610 0.46316460
## Shannon.het.euk 0.47925100 0.05831986
## Shannon.het.prok 1.00000000 0.40266513
## biomass_transport 0.40266513 1.00000000
## chlorophyll PPAVG specific_PP Shannon.auto.euk
## chlorophyll 1.000000000 0.7004835 0.32146445 0.02942925
## PPAVG 0.700483476 1.0000000 0.84506011 -0.39507524
## specific_PP 0.321464447 0.8450601 1.00000000 -0.76211677
## Shannon.auto.euk 0.029429248 -0.3950752 -0.76211677 1.00000000
## Shannon.auto.cynao 0.941699253 0.4397243 0.08425641 0.12808273
## Shannon.mixo 0.007300381 -0.4737569 -0.81350555 0.76555190
## Shannon.het.euk 0.457663934 -0.1456583 -0.49605847 0.67704213
## Shannon.het.prok -0.291822423 -0.7214593 -0.60076963 0.21421391
## biomass_transport 0.346207451 -0.1356339 -0.20102259 0.06860904
## Shannon.auto.cynao Shannon.mixo Shannon.het.euk
## chlorophyll 0.94169925 0.007300381 0.45766393
## PPAVG 0.43972428 -0.473756899 -0.14565832
## specific_PP 0.08425641 -0.813505554 -0.49605847
## Shannon.auto.euk 0.12808273 0.765551898 0.67704213
## Shannon.auto.cynao 1.00000000 0.134148617 0.62401336
## Shannon.mixo 0.13414862 1.000000000 0.68409085
## Shannon.het.euk 0.62401336 0.684090849 1.00000000
## Shannon.het.prok -0.01506632 0.071168352 0.06296718
## biomass_transport 0.53231698 -0.147236225 0.15060139
## Shannon.het.prok biomass_transport
## chlorophyll -0.29182242 0.34620745
## PPAVG -0.72145930 -0.13563391
## specific_PP -0.60076963 -0.20102259
## Shannon.auto.euk 0.21421391 0.06860904
## Shannon.auto.cynao -0.01506632 0.53231698
## Shannon.mixo 0.07116835 -0.14723622
## Shannon.het.euk 0.06296718 0.15060139
## Shannon.het.prok 1.00000000 0.76598091
## biomass_transport 0.76598091 1.00000000















## Call:corr.test(x = list_meta$meta_functions.z[A], y = list_meta$meta_functions.z$SST,
## method = "pearson", adjust = "holm")
## Correlation matrix
## [,1]
## Shannon.auto.euk 0.62
## Shannon.mixo 0.75
## Shannon.het.prok 0.43
## Sample Size
## [1] 121
## Probability values adjusted for multiple tests.
## [,1]
## Shannon.auto.euk 0
## Shannon.mixo 0
## Shannon.het.prok 0
##
## To see confidence intervals of the correlations, print with the short=FALSE option
## Call:corr.test(x = list_meta$meta_functions.z[B], y = list_meta$meta_functions.z[D],
## method = "pearson", adjust = "holm")
## Correlation matrix
## PO4_umol.l NO3_umol.l Total.N..nmol.L. Total.C..nmol.L.
## Shannon.auto.euk -0.48 -0.35 -0.73 -0.74
## Shannon.het.prok -0.31 -0.31 -0.35 -0.39
## chlorophyll
## Shannon.auto.euk -0.63
## Shannon.het.prok -0.20
## Sample Size
## [1] 121
## Probability values adjusted for multiple tests.
## PO4_umol.l NO3_umol.l Total.N..nmol.L. Total.C..nmol.L.
## Shannon.auto.euk 0 0 0 0
## Shannon.het.prok 0 0 0 0
## chlorophyll
## Shannon.auto.euk 0.00
## Shannon.het.prok 0.03
##
## To see confidence intervals of the correlations, print with the short=FALSE option
## Call:corr.test(x = list_meta$meta_functions.z$TotalCell.Count, y = list_meta$meta_functions.z[E],
## method = "pearson", adjust = "holm")
## Correlation matrix
## chlorophyll PPAVG
## [1,] 0.14 0.17
## Sample Size
## PPAVG
## [1,] 115 57
## Probability values adjusted for multiple tests.
## chlorophyll PPAVG
## [1,] 0.25 0.25
##
## To see confidence intervals of the correlations, print with the short=FALSE option
## Call:corr.test(x = meta_NAST[C], y = meta_NAST$PO4_umol.l, method = "pearson",
## adjust = "holm")
## Correlation matrix
## [,1]
## Shannon.auto.cynao 0.83
## Shannon.het.prok 0.39
## Sample Size
## [1] 10
## Probability values adjusted for multiple tests.
## [,1]
## Shannon.auto.cynao 0.01
## Shannon.het.prok 0.27
##
## To see confidence intervals of the correlations, print with the short=FALSE option
##
## Pearson's product-moment correlation
##
## data: meta_SATL_cold$Total.N..nmol.L. and meta_SATL_cold$Shannon.auto.cynao
## t = 4.7413, df = 13, p-value = 0.0003854
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.4790641 0.9293165
## sample estimates:
## cor
## 0.7959865
##
## Pearson's product-moment correlation
##
## data: meta_BRAZ$Shannon.auto.euk and meta_BRAZ$SST
## t = 3.9239, df = 6, p-value = 0.007767
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.3570333 0.9719573
## sample estimates:
## cor
## 0.8482848
##
##
## Pearson's product-moment correlation
##
## data: meta_SATL_hot$Shannon.auto.euk and meta_SATL_hot$SST
## t = 0.29017, df = 18, p-value = 0.775
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.3859392 0.4957855
## sample estimates:
## cor
## 0.06823518
##
## Pearson's product-moment correlation
##
## data: meta_BRAZ$Shannon.auto.euk and meta_BRAZ$Shannon.auto.cynao
## t = 5.5678, df = 6, p-value = 0.001422
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.5934368 0.9848003
## sample estimates:
## cor
## 0.9153357
##
##
## Pearson's product-moment correlation
##
## data: meta_SATL_cold$Shannon.auto.euk and meta_SATL_cold$Shannon.mixo
## t = 1.5499, df = 13, p-value = 0.1452
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1471072 0.7545354
## sample estimates:
## cor
## 0.3949155
##
##
## Pearson's product-moment correlation
##
## data: meta_CNRY$Shannon.auto.euk and meta_CNRY$Shannon.mixo
## t = 2.2583, df = 24, p-value = 0.0333
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.03732906 0.69352099
## sample estimates:
## cor
## 0.4186279
##
##
## Pearson's product-moment correlation
##
## data: meta_NADR$Shannon.auto.euk and meta_NADR$Shannon.mixo
## t = 3.8113, df = 11, p-value = 0.002886
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.3480444 0.9220900
## sample estimates:
## cor
## 0.7543668
## Warning in rm(f, g, h, i, j, k): object 'f' not found
## Warning in rm(f, g, h, i, j, k): object 'g' not found
## Call:corr.test(x = list_meta$meta_auto_euk.z[test_env], y = list_meta$meta_auto_euk.z$Shannon,
## method = "pearson", adjust = "holm")
## Correlation matrix
## [,1]
## salinity 0.57
## SST 0.61
## PO4_umol.l -0.46
## Si_umol.l -0.05
## NO3_umol.l -0.34
## oxygen.umol.l. -0.66
## Total.N..nmol.L. -0.72
## Total.C..nmol.L. -0.73
## chlorophyll -0.62
## Sample Size
## [1] 129
## Probability values adjusted for multiple tests.
## [,1]
## salinity 0.00
## SST 0.00
## PO4_umol.l 0.00
## Si_umol.l 0.54
## NO3_umol.l 0.00
## oxygen.umol.l. 0.00
## Total.N..nmol.L. 0.00
## Total.C..nmol.L. 0.00
## chlorophyll 0.00
##
## To see confidence intervals of the correlations, print with the short=FALSE option
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_auto_euk.PP.z$PPAVG and list_meta$meta_auto_euk.PP.z$Shannon
## t = -6.2069, df = 57, p-value = 6.576e-08
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.7664903 -0.4525805
## sample estimates:
## cor
## -0.6350606
##
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_auto_euk.PP.z$specific_PP and list_meta$meta_auto_euk.PP.z$Shannon
## t = -1.4545, df = 57, p-value = 0.1513
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.42467962 0.07031858
## sample estimates:
## cor
## -0.1891701
##
## Call:corr.test(x = list_meta$meta_auto_cyano.z[test_env], y = list_meta$meta_auto_cyano.z$Shannon,
## method = "pearson", adjust = "holm")
## Correlation matrix
## [,1]
## salinity 0.05
## SST 0.06
## PO4_umol.l -0.20
## Si_umol.l -0.10
## NO3_umol.l -0.23
## oxygen.umol.l. -0.23
## Total.N..nmol.L. -0.17
## Total.C..nmol.L. -0.19
## chlorophyll -0.03
## Sample Size
## [1] 124
## Probability values adjusted for multiple tests.
## [,1]
## salinity 1.00
## SST 1.00
## PO4_umol.l 0.17
## Si_umol.l 1.00
## NO3_umol.l 0.08
## oxygen.umol.l. 0.08
## Total.N..nmol.L. 0.33
## Total.C..nmol.L. 0.21
## chlorophyll 1.00
##
## To see confidence intervals of the correlations, print with the short=FALSE option
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_auto_cyano.PP.z$PPAVG and list_meta$meta_auto_cyano.PP.z$Shannon
## t = -1.2428, df = 56, p-value = 0.2191
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.40498659 0.09864161
## sample estimates:
## cor
## -0.1638283
##
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_auto_cyano.PP.z$specific_PP and list_meta$meta_auto_cyano.PP.z$Shannon
## t = -0.46323, df = 56, p-value = 0.645
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.3150516 0.1996991
## sample estimates:
## cor
## -0.06178355
##
## Call:corr.test(x = list_meta$meta_mixo.z[test_env], y = list_meta$meta_mixo.z$Shannon,
## method = "pearson", adjust = "holm")
## Correlation matrix
## [,1]
## salinity 0.46
## SST 0.75
## PO4_umol.l -0.43
## Si_umol.l 0.12
## NO3_umol.l -0.37
## oxygen.umol.l. -0.75
## Total.N..nmol.L. -0.50
## Total.C..nmol.L. -0.52
## chlorophyll -0.44
## Sample Size
## [1] 129
## Probability values adjusted for multiple tests.
## [,1]
## salinity 0.00
## SST 0.00
## PO4_umol.l 0.00
## Si_umol.l 0.16
## NO3_umol.l 0.00
## oxygen.umol.l. 0.00
## Total.N..nmol.L. 0.00
## Total.C..nmol.L. 0.00
## chlorophyll 0.00
##
## To see confidence intervals of the correlations, print with the short=FALSE option
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_mixo.PP.z$PPAVG and list_meta$meta_mixo.PP.z$Shannon
## t = -2.0757, df = 57, p-value = 0.04244
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.488047041 -0.009670832
## sample estimates:
## cor
## -0.2650966
##
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_mixo.PP.z$specific_PP and list_meta$meta_mixo.PP.z$Shannon
## t = 1.0949, df = 57, p-value = 0.2782
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1168556 0.3854377
## sample estimates:
## cor
## 0.1435215
##
## Call:corr.test(x = list_meta$meta_het_euk.z[test_env], y = list_meta$meta_het_euk.z$Shannon,
## method = "pearson", adjust = "holm")
## Correlation matrix
## [,1]
## salinity 0.44
## SST 0.68
## PO4_umol.l -0.38
## Si_umol.l 0.03
## NO3_umol.l -0.33
## oxygen.umol.l. -0.76
## Total.N..nmol.L. -0.50
## Total.C..nmol.L. -0.55
## chlorophyll -0.35
## Sample Size
## [1] 129
## Probability values adjusted for multiple tests.
## [,1]
## salinity 0.00
## SST 0.00
## PO4_umol.l 0.00
## Si_umol.l 0.75
## NO3_umol.l 0.00
## oxygen.umol.l. 0.00
## Total.N..nmol.L. 0.00
## Total.C..nmol.L. 0.00
## chlorophyll 0.00
##
## To see confidence intervals of the correlations, print with the short=FALSE option
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_het_euk.PP.z$PPAVG and list_meta$meta_het_euk.PP.z$Shannon
## t = -2.1659, df = 57, p-value = 0.03452
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.49675624 -0.02116486
## sample estimates:
## cor
## -0.2757526
##
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_het_euk.PP.z$specific_PP and list_meta$meta_het_euk.PP.z$Shannon
## t = 0.66389, df = 57, p-value = 0.5094
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1723524 0.3361381
## sample estimates:
## cor
## 0.08759601
##
## Call:corr.test(x = list_meta$meta_het_prok.z[test_env], y = list_meta$meta_het_prok.z$Shannon,
## method = "pearson", adjust = "holm")
## Correlation matrix
## [,1]
## salinity 0.24
## SST 0.45
## PO4_umol.l -0.29
## Si_umol.l -0.02
## NO3_umol.l -0.29
## oxygen.umol.l. -0.59
## Total.N..nmol.L. -0.31
## Total.C..nmol.L. -0.36
## chlorophyll -0.18
## Sample Size
## [1] 124
## Probability values adjusted for multiple tests.
## [,1]
## salinity 0.03
## SST 0.00
## PO4_umol.l 0.00
## Si_umol.l 0.80
## NO3_umol.l 0.00
## oxygen.umol.l. 0.00
## Total.N..nmol.L. 0.00
## Total.C..nmol.L. 0.00
## chlorophyll 0.10
##
## To see confidence intervals of the correlations, print with the short=FALSE option
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_het_prok.PP.z$PPAVG and list_meta$meta_het_prok.PP.z$Shannon
## t = -1.0771, df = 56, p-value = 0.2861
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.3865323 0.1202614
## sample estimates:
## cor
## -0.1424596
##
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_het_prok.PP.z$specific_PP and list_meta$meta_het_prok.PP.z$Shannon
## t = 0.16961, df = 56, p-value = 0.8659
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.2370235 0.2793205
## sample estimates:
## cor
## 0.02265958
##
## Call:corr.test(x = list_meta$meta_functions.z[test_env], y = list_meta$meta_functions.z$TotalCell.Count,
## method = "pearson", adjust = "holm")
## Correlation matrix
## [,1]
## salinity -0.10
## SST -0.08
## PO4_umol.l 0.01
## Si_umol.l 0.00
## NO3_umol.l -0.02
## oxygen.umol.l. 0.05
## Total.N..nmol.L. 0.20
## Total.C..nmol.L. 0.20
## chlorophyll 0.14
## Sample Size
## [1] 115
## Probability values adjusted for multiple tests.
## [,1]
## salinity 1.00
## SST 1.00
## PO4_umol.l 1.00
## Si_umol.l 1.00
## NO3_umol.l 1.00
## oxygen.umol.l. 1.00
## Total.N..nmol.L. 0.29
## Total.C..nmol.L. 0.29
## chlorophyll 0.89
##
## To see confidence intervals of the correlations, print with the short=FALSE option
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_functions.PP.z$PPAVG and list_meta$meta_functions.PP.z$TotalCell.Count
## t = 1.2673, df = 55, p-value = 0.2104
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.09635779 0.41096930
## sample estimates:
## cor
## 0.168439
##
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_functions.PP.z$specific_PP and list_meta$meta_functions.PP.z$TotalCell.Count
## t = 0.0059818, df = 55, p-value = 0.9952
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.2598157 0.2613193
## sample estimates:
## cor
## 0.0008065903
##
##
## Pearson's product-moment correlation
##
## data: meta_CNRY$PPAVG and meta_CNRY$Shannon.auto.euk
## t = -2.2693, df = 12, p-value = 0.04249
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.83560745 -0.02452912
## sample estimates:
## cor
## -0.5479769
##
##
## Pearson's product-moment correlation
##
## data: meta_CNRY$PPAVG and meta_CNRY$Shannon.auto.cynao
## t = -2.9066, df = 12, p-value = 0.01316
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.8749555 -0.1702580
## sample estimates:
## cor
## -0.6427724
##
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_functions.PP.z$PPAVG and list_meta$meta_functions.PP.z$TotalCell.Count
## t = 1.2673, df = 55, p-value = 0.2104
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.09635779 0.41096930
## sample estimates:
## cor
## 0.168439
##
##
## Pearson's product-moment correlation
##
## data: list_meta$meta_functions.PP.z$chlorophyll and list_meta$meta_functions.PP.z$TotalCell.Count
## t = 0.55893, df = 55, p-value = 0.5785
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1891185 0.3292722
## sample estimates:
## cor
## 0.0751525







wilcoxon test
require("ggpubr")
## Loading required package: ggpubr
L_CHL_mixo <- list_meta$meta_mixo%>%dplyr::filter(province %in% L_CHL)
H_CHL_mixo <- list_meta$meta_mixo%>%dplyr::filter(province %in% H_CHL)
print(wilcox.test(L_CHL_mixo$Shannon, H_CHL_mixo$Shannon, var.equal = TRUE))
##
## Wilcoxon rank sum test with continuity correction
##
## data: L_CHL_mixo$Shannon and H_CHL_mixo$Shannon
## W = 3838, p-value < 2.2e-16
## alternative hypothesis: true location shift is not equal to 0
PCA and PCoA of environmental metadata
- look at the eigenvalues, if they are negative then they don’t make sense and shouldn’t be included in further analysis the problem with PCoA is that it sorts the eigenvalues and you don’t know which is what
source("C:/Users/choerstm/Documents/core_PS113/Genomics/RScripts/general_metadata_analysis.R", encoding = "UTF-8")
#define the import data
meta_sub <- c("Site","province", "SST", "salinity", "distance_to_province_boundary.km.", "Distance_coast.km.", "oxygen.umol.l.","NO3_umol.l","PO4_umol.l","Total.N..nmol.L.", "Total.C..nmol.L.", "chlorophyll")
meta_sub_PP <- c("Site","province", "SST", "salinity", "distance_to_province_boundary.km.", "Distance_coast.km.", "oxygen.umol.l.","NO3_umol.l","PO4_umol.l","Total.N..nmol.L.", "Total.C..nmol.L.", "chlorophyll", "PPAVG", "specific_PP", "biomass_transport")
meta_PCA(list_meta$meta_functions.z[meta_sub])
## Loading required package: ggbiplot
## Loading required package: plyr
##
## Attaching package: 'plyr'
## The following object is masked from 'package:ggpubr':
##
## mutate
## The following object is masked from 'package:purrr':
##
## compact
## Loading required package: grid
## Standard deviations (1, .., p=10):
## [1] 2.3540654 1.3269331 1.1042458 0.7624836 0.6789696 0.5331532 0.2749711
## [8] 0.2207139 0.1311009 0.1006038
##
## Rotation (n x k) = (10 x 10):
## PC1 PC2 PC3
## SST 0.3673779 0.10968182 -0.32573244
## salinity 0.3122419 -0.34742938 0.08789074
## distance_to_province_boundary.km. 0.1850975 0.51353969 -0.06364393
## Distance_coast.km. 0.2174735 0.53346612 -0.34256432
## oxygen.umol.l. -0.3871913 -0.06190419 0.22076205
## NO3_umol.l -0.2998920 0.38354997 0.31667977
## PO4_umol.l -0.3337318 0.35668273 0.22483422
## Total.N..nmol.L. -0.3358382 -0.10596167 -0.46920571
## Total.C..nmol.L. -0.3403570 -0.15793851 -0.44395238
## chlorophyll -0.3257655 0.06794038 -0.38464612
## PC4 PC5 PC6
## SST 0.11082030 -0.35697893 0.05203432
## salinity 0.52472106 -0.16904645 -0.39396752
## distance_to_province_boundary.km. 0.49897645 0.64194791 -0.12897129
## Distance_coast.km. -0.28337328 -0.12966258 0.19521472
## oxygen.umol.l. -0.06526041 0.37229730 0.19506593
## NO3_umol.l 0.27564160 -0.37404505 0.02230257
## PO4_umol.l 0.15947495 -0.35835022 -0.18194640
## Total.N..nmol.L. 0.33297526 -0.05688187 0.21300573
## Total.C..nmol.L. 0.30126354 -0.02372620 0.22849614
## chlorophyll -0.27533079 0.06596586 -0.78619661
## PC7 PC8 PC9
## SST 0.48362429 -0.58958362 0.01138746
## salinity -0.49694578 -0.13740842 0.20941577
## distance_to_province_boundary.km. 0.13106153 0.03885081 -0.02475211
## Distance_coast.km. -0.60405984 -0.01789147 0.22278095
## oxygen.umol.l. -0.17562048 -0.66543193 0.26679062
## NO3_umol.l -0.20090679 -0.23059181 -0.56787043
## PO4_umol.l 0.24282674 0.21555849 0.62860391
## Total.N..nmol.L. -0.07972402 0.23690468 -0.20789802
## Total.C..nmol.L. -0.01128151 -0.08238599 0.24020080
## chlorophyll -0.02080677 -0.16227016 -0.12671383
## PC10
## SST 0.15115589
## salinity 0.07254367
## distance_to_province_boundary.km. -0.03095076
## Distance_coast.km. 0.02659906
## oxygen.umol.l. 0.26791884
## NO3_umol.l -0.17398222
## PO4_umol.l 0.15272616
## Total.N..nmol.L. 0.62502000
## Total.C..nmol.L. -0.67377633
## chlorophyll -0.01495696
meta_PCA(list_meta$meta_functions.PP.z[meta_sub_PP])
## Loading required package: ggbiplot
## Loading required package: vegan
## This is vegan 2.5-7
## Standard deviations (1, .., p=10):
## [1] 2.40380606 1.27932768 1.00839653 0.81890127 0.70700174 0.51529532
## [7] 0.27959649 0.17523436 0.13373371 0.07367188
##
## Rotation (n x k) = (10 x 10):
## PC1 PC2 PC3
## SST 0.3572144 0.20436901 -0.32472022
## salinity 0.3079956 -0.31823867 -0.09365239
## distance_to_province_boundary.km. 0.1758840 0.50467819 0.04506888
## Distance_coast.km. 0.1977742 0.62451997 -0.15620873
## oxygen.umol.l. -0.3793710 -0.11881502 0.25129999
## NO3_umol.l -0.3129521 0.32125995 0.34501411
## PO4_umol.l -0.3475766 0.28145521 0.25097413
## Total.N..nmol.L. -0.3402311 0.01941654 -0.50169851
## Total.C..nmol.L. -0.3522045 -0.03222106 -0.46612731
## chlorophyll -0.3240537 0.11947798 -0.38105530
## PC4 PC5 PC6
## SST 0.014131737 -0.34971983 0.040553291
## salinity 0.524413699 -0.24729331 -0.397619921
## distance_to_province_boundary.km. 0.579871925 0.58923702 -0.080958014
## Distance_coast.km. -0.334433026 -0.07751395 0.150461254
## oxygen.umol.l. -0.007868179 0.32650850 0.158170059
## NO3_umol.l 0.239159717 -0.43602986 -0.007750222
## PO4_umol.l 0.133042038 -0.35433319 -0.256927077
## Total.N..nmol.L. 0.270168669 -0.06595402 0.264170309
## Total.C..nmol.L. 0.231004505 -0.04288111 0.271071199
## chlorophyll -0.274554211 0.18671586 -0.759411704
## PC7 PC8 PC9
## SST -0.39854029 -0.640811301 0.12565074
## salinity 0.49564302 -0.092665348 -0.20015440
## distance_to_province_boundary.km. -0.13888222 0.007283007 0.03505632
## Distance_coast.km. 0.56985201 0.036715523 -0.27574474
## oxygen.umol.l. 0.27139656 -0.687347358 -0.14668243
## NO3_umol.l 0.23839728 -0.080669406 0.57152833
## PO4_umol.l -0.34099062 0.079590929 -0.60684825
## Total.N..nmol.L. 0.04524755 0.258836649 0.18614305
## Total.C..nmol.L. 0.02932205 -0.127585506 -0.28575042
## chlorophyll 0.04257894 -0.103970221 0.18481964
## PC10
## SST 0.12561105
## salinity 0.08072252
## distance_to_province_boundary.km. -0.04192079
## Distance_coast.km. 0.06206496
## oxygen.umol.l. 0.28196326
## NO3_umol.l -0.20604222
## PO4_umol.l 0.19195743
## Total.N..nmol.L. 0.61753091
## Total.C..nmol.L. -0.65587080
## chlorophyll -0.04220259
me_data <- c("SST", "salinity", "distance_to_province_boundary.km.", "Distance_coast.km.", "oxygen.umol.l.","NO3_umol.l","PO4_umol.l","Total.N..nmol.L.", "Total.C..nmol.L.", "chlorophyll")
me_data_PP <- c("SST", "salinity", "distance_to_province_boundary.km.", "Distance_coast.km.", "oxygen.umol.l.","NO3_umol.l","PO4_umol.l","Total.N..nmol.L.", "Total.C..nmol.L.", "chlorophyll", "PPAVG")
meta_PCoA(list_meta$meta_functions.z[me_data],list_meta$meta_functions.z["province"], list_meta$meta_functions.z["Site"])
## Loading required package: vegan
## This is vegan 2.5-7
meta_PCoA(list_meta$meta_functions.PP.z[me_data_PP],list_meta$meta_functions.PP.z["province"], list_meta$meta_functions.PP.z["Site"])
## Loading required package: vegan
## This is vegan 2.5-7
#meta_PCA(BRAZ[meta_sub])
rm(meta_sub, meta_sub_PP, me_data, me_data_PP)




RDA of functions
## Loading required package: suncalc
## Warning: package 'suncalc' was built under R version 4.0.5
## Loading required package: vegan
## This is vegan 2.5-7
## Call: rda(formula = ASV.clr.t ~ oxygen.umol.l. + Total.C..nmol.L. +
## PO4_umol.l + Distance_coast.km. + SST + salinity +
## distance_to_province_boundary.km. + NO3_umol.l + chlorophyll + altitude
## + azimuth, data = meta)
##
## Inertia Proportion Rank
## Total 858.0160 1.0000
## Constrained 460.3395 0.5365 11
## Unconstrained 397.6765 0.4635 109
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10 RDA11
## 238.68 75.38 45.62 38.00 25.78 11.06 9.92 6.46 4.75 2.76 1.94
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 65.43 41.54 30.44 18.88 16.23 15.30 11.63 11.42
## (Showing 8 of 109 unconstrained eigenvalues)
## R2.adj Df AIC F Pr(>F)
## + oxygen.umol.l. 0.23600 1 786.72 38.0683 0.002 **
## + Total.C..nmol.L. 0.30054 1 777.02 11.9802 0.002 **
## + PO4_umol.l 0.35334 1 768.49 10.6346 0.002 **
## + Distance_coast.km. 0.39593 1 761.21 9.2496 0.002 **
## + SST 0.42484 1 756.23 6.8307 0.002 **
## + salinity 0.44848 1 752.09 5.9295 0.002 **
## + distance_to_province_boundary.km. 0.45946 1 750.60 3.3140 0.002 **
## + NO3_umol.l 0.46994 1 749.15 3.2354 0.002 **
## + chlorophyll 0.48205 1 747.27 3.6180 0.002 **
## + altitude 0.48642 1 747.15 1.9448 0.008 **
## + azimuth 0.48974 1 747.26 1.7163 0.022 *
## <All variables> 0.49192
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Call: rda(formula = ASV.clr.t ~ oxygen.umol.l. + Total.C..nmol.L. +
## Distance_coast.km. + SST + salinity + PO4_umol.l + NO3_umol.l +
## chlorophyll + distance_to_province_boundary.km. + altitude, data =
## meta)
##
## Inertia Proportion Rank
## Total 343.2630 1.0000
## Constrained 217.2235 0.6328 10
## Unconstrained 126.0395 0.3672 58
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10
## 132.06 47.80 15.00 11.67 4.47 2.45 1.60 1.00 0.86 0.33
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 32.42 21.67 12.44 8.57 6.17 4.73 4.35 3.50
## (Showing 8 of 58 unconstrained eigenvalues)
## R2.adj Df AIC F Pr(>F)
## + oxygen.umol.l. 0.29926 1 665.41 52.2482 0.002 **
## + Total.C..nmol.L. 0.38590 1 650.42 17.7896 0.002 **
## + Distance_coast.km. 0.46438 1 634.85 18.2893 0.002 **
## + SST 0.50401 1 626.51 10.3480 0.002 **
## + salinity 0.53720 1 619.08 9.3200 0.002 **
## + PO4_umol.l 0.56583 1 612.30 8.5817 0.002 **
## + NO3_umol.l 0.57518 1 610.59 3.5103 0.004 **
## + chlorophyll 0.58729 1 608.02 4.3137 0.002 **
## + distance_to_province_boundary.km. 0.59414 1 606.91 2.8912 0.002 **
## + altitude 0.59944 1 606.22 2.4687 0.016 *
## <All variables> 0.60129
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Call: rda(formula = ASV.clr.t ~ SST + salinity + oxygen.umol.l. +
## PO4_umol.l + Total.C..nmol.L. + distance_to_province_boundary.km. +
## Distance_coast.km. + chlorophyll + NO3_umol.l + azimuth, data = meta)
##
## Inertia Proportion Rank
## Total 171.2932 1.0000
## Constrained 84.7253 0.4946 10
## Unconstrained 86.5679 0.5054 55
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10
## 41.51 18.97 8.56 4.76 4.20 3.15 1.53 1.23 0.51 0.30
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 12.478 11.766 7.279 4.944 4.096 3.615 3.309 3.034
## (Showing 8 of 55 unconstrained eigenvalues)
## R2.adj Df AIC F Pr(>F)
## + SST 0.17782 1 600.64 26.9543 0.002 **
## + salinity 0.26778 1 587.60 15.6198 0.002 **
## + oxygen.umol.l. 0.31485 1 580.53 9.1056 0.002 **
## + PO4_umol.l 0.35921 1 573.39 9.1008 0.002 **
## + Total.C..nmol.L. 0.38859 1 568.67 6.5726 0.002 **
## + distance_to_province_boundary.km. 0.40915 1 565.47 5.0034 0.002 **
## + Distance_coast.km. 0.42946 1 562.17 5.0575 0.002 **
## + chlorophyll 0.44052 1 560.73 3.2335 0.002 **
## + NO3_umol.l 0.44489 1 560.69 1.8826 0.016 *
## + azimuth 0.44868 1 560.77 1.7619 0.044 *
## <All variables> 0.45168
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Call: rda(formula = ASV.clr.t ~ SST + salinity + Total.C..nmol.L. +
## PO4_umol.l + oxygen.umol.l. + Distance_coast.km. +
## distance_to_province_boundary.km. + chlorophyll + NO3_umol.l + altitude
## + azimuth, data = meta)
##
## Inertia Proportion Rank
## Total 2391.2179 1.0000
## Constrained 1043.5874 0.4364 11
## Unconstrained 1347.6304 0.5636 109
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10 RDA11
## 426.9 181.7 130.8 89.4 82.3 44.0 33.2 19.8 17.8 9.8 7.9
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 196.99 105.35 70.78 56.10 54.67 47.74 37.70 35.80
## (Showing 8 of 109 unconstrained eigenvalues)
## R2.adj Df AIC F Pr(>F)
## + SST 0.14810 1 923.91 21.8619 0.002 **
## + salinity 0.20422 1 916.65 9.3911 0.002 **
## + Total.C..nmol.L. 0.25110 1 910.27 8.3880 0.002 **
## + PO4_umol.l 0.28554 1 905.54 6.6388 0.002 **
## + oxygen.umol.l. 0.31599 1 901.22 6.1647 0.002 **
## + Distance_coast.km. 0.33967 1 897.90 5.1229 0.002 **
## + distance_to_province_boundary.km. 0.35578 1 895.84 3.8519 0.002 **
## + chlorophyll 0.36468 1 895.09 2.5820 0.002 **
## + NO3_umol.l 0.37109 1 894.77 2.1419 0.004 **
## + altitude 0.37684 1 894.57 2.0252 0.008 **
## + azimuth 0.37955 1 894.93 1.4800 0.024 *
## <All variables> 0.37993
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Call: rda(formula = ASV.clr.t ~ SST + Distance_coast.km. +
## Total.C..nmol.L. + oxygen.umol.l. + PO4_umol.l + salinity +
## distance_to_province_boundary.km. + chlorophyll + NO3_umol.l +
## altitude, data = meta)
##
## Inertia Proportion Rank
## Total 4734.8559 1.0000
## Constrained 2720.5440 0.5746 10
## Unconstrained 2014.3119 0.4254 110
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10
## 1517.3 398.1 329.8 174.4 139.6 63.6 36.9 28.8 21.6 10.6
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 486.9 180.0 157.7 81.8 72.6 62.6 56.6 50.8
## (Showing 8 of 110 unconstrained eigenvalues)
## R2.adj Df AIC F Pr(>F)
## + SST 0.25994 1 989.55 43.1480 0.002 **
## + Distance_coast.km. 0.33743 1 977.14 14.9191 0.002 **
## + Total.C..nmol.L. 0.40558 1 964.98 14.5273 0.002 **
## + oxygen.umol.l. 0.44350 1 957.96 8.9741 0.002 **
## + PO4_umol.l 0.48072 1 950.54 9.3131 0.002 **
## + salinity 0.49790 1 947.41 4.9362 0.002 **
## + distance_to_province_boundary.km. 0.50781 1 945.93 3.2948 0.002 **
## + chlorophyll 0.51701 1 944.58 3.1527 0.006 **
## + NO3_umol.l 0.52740 1 942.86 3.4624 0.004 **
## + altitude 0.53590 1 941.57 3.0328 0.008 **
## <All variables> 0.53989
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Loading required package: raster
## Loading required package: sp
##
## Attaching package: 'sp'
## The following object is masked from 'package:coda.base':
##
## coordinates
##
## Attaching package: 'raster'
## The following object is masked from 'package:ggpubr':
##
## rotate
## The following object is masked from 'package:NADA':
##
## flip
## The following objects are masked from 'package:MASS':
##
## area, select
## The following object is masked from 'package:tidyr':
##
## extract
## Call: rda(formula = ASV.clr.t.sort ~ SST + salinity +
## distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l.
## + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. +
## chlorophyll + altitude + azimuth, data = meta.wf.data)
##
## Inertia Proportion Rank
## Total 858.0160 1.0000
## Constrained 465.6719 0.5427 12
## Unconstrained 392.3441 0.4573 108
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10 RDA11
## 238.68 75.77 45.72 38.08 25.96 12.16 9.93 6.47 4.79 4.10 2.19
## RDA12
## 1.82
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 64.78 41.25 30.28 18.78 16.15 14.94 11.47 11.37
## (Showing 8 of 108 unconstrained eigenvalues)
##
## [1] "mean distances of sites from centroids"
## # A tibble: 11 x 2
## province mean
## * <fct> <dbl>
## 1 BRAZ 0.0497
## 2 CNRY 0.0934
## 3 FKLD 0.0378
## 4 NADR 0.0279
## 5 NAST-E 0.0485
## 6 NATR 0.0373
## 7 SATL-COLD 0.0251
## 8 SATL-HOT 0.0346
## 9 Station24 0
## 10 Station92 0
## 11 WTRA 0.0387
## [1] "distances between high/low PP province"
## $BRAZ_BRAZ
## [1] 0
##
## $BRAZ_CNRY
## [1] 0.0916648
##
## $BRAZ_FKLD
## [1] 0.08673431
##
## $BRAZ_NADR
## [1] 0.1852124
##
## $`BRAZ_NAST-E`
## [1] 0.2119694
##
## $BRAZ_NATR
## [1] 0.1634472
##
## $`BRAZ_SATL-COLD`
## [1] 0.220872
##
## $`BRAZ_SATL-HOT`
## [1] 0.2456477
##
## $BRAZ_Station24
## [1] 0.1779868
##
## $BRAZ_Station92
## [1] 0.239781
##
## $BRAZ_WTRA
## [1] 0.2410666
##
## $CNRY_BRAZ
## [1] 0.0916648
##
## $CNRY_CNRY
## [1] 0
##
## $CNRY_FKLD
## [1] 0.1241782
##
## $CNRY_NADR
## [1] 0.1925774
##
## $`CNRY_NAST-E`
## [1] 0.1673032
##
## $CNRY_NATR
## [1] 0.08844391
##
## $`CNRY_SATL-COLD`
## [1] 0.1421868
##
## $`CNRY_SATL-HOT`
## [1] 0.1574646
##
## $CNRY_Station24
## [1] 0.09740441
##
## $CNRY_Station92
## [1] 0.1485428
##
## $CNRY_WTRA
## [1] 0.1494686
##
## $FKLD_BRAZ
## [1] 0.08673431
##
## $FKLD_CNRY
## [1] 0.1241782
##
## $FKLD_FKLD
## [1] 0
##
## $FKLD_NADR
## [1] 0.09994069
##
## $`FKLD_NAST-E`
## [1] 0.1543748
##
## $FKLD_NATR
## [1] 0.2123918
##
## $`FKLD_SATL-COLD`
## [1] 0.1989319
##
## $`FKLD_SATL-HOT`
## [1] 0.2392797
##
## $FKLD_Station24
## [1] 0.1659888
##
## $FKLD_Station92
## [1] 0.2585588
##
## $FKLD_WTRA
## [1] 0.2560555
##
## $NADR_BRAZ
## [1] 0.1852124
##
## $NADR_CNRY
## [1] 0.1925774
##
## $NADR_FKLD
## [1] 0.09994069
##
## $NADR_NADR
## [1] 0
##
## $`NADR_NAST-E`
## [1] 0.1098027
##
## $NADR_NATR
## [1] 0.2766355
##
## $`NADR_SATL-COLD`
## [1] 0.1944429
##
## $`NADR_SATL-HOT`
## [1] 0.2457118
##
## $NADR_Station24
## [1] 0.1820507
##
## $NADR_Station92
## [1] 0.2894505
##
## $NADR_WTRA
## [1] 0.2833553
##
## $`NAST-E_BRAZ`
## [1] 0.2119694
##
## $`NAST-E_CNRY`
## [1] 0.1673032
##
## $`NAST-E_FKLD`
## [1] 0.1543748
##
## $`NAST-E_NADR`
## [1] 0.1098027
##
## $`NAST-E_NAST-E`
## [1] 0
##
## $`NAST-E_NATR`
## [1] 0.2283782
##
## $`NAST-E_SATL-COLD`
## [1] 0.09489192
##
## $`NAST-E_SATL-HOT`
## [1] 0.1475586
##
## $`NAST-E_Station24`
## [1] 0.1028692
##
## $`NAST-E_Station92`
## [1] 0.205344
##
## $`NAST-E_WTRA`
## [1] 0.1968591
##
## $NATR_BRAZ
## [1] 0.1634472
##
## $NATR_CNRY
## [1] 0.08844391
##
## $NATR_FKLD
## [1] 0.2123918
##
## $NATR_NADR
## [1] 0.2766355
##
## $`NATR_NAST-E`
## [1] 0.2283782
##
## $NATR_NATR
## [1] 0
##
## $`NATR_SATL-COLD`
## [1] 0.1661472
##
## $`NATR_SATL-HOT`
## [1] 0.1513253
##
## $NATR_Station24
## [1] 0.1305746
##
## $NATR_Station92
## [1] 0.1027786
##
## $NATR_WTRA
## [1] 0.1100034
##
## $`SATL-COLD_BRAZ`
## [1] 0.220872
##
## $`SATL-COLD_CNRY`
## [1] 0.1421868
##
## $`SATL-COLD_FKLD`
## [1] 0.1989319
##
## $`SATL-COLD_NADR`
## [1] 0.1944429
##
## $`SATL-COLD_NAST-E`
## [1] 0.09489192
##
## $`SATL-COLD_NATR`
## [1] 0.1661472
##
## $`SATL-COLD_SATL-COLD`
## [1] 0
##
## $`SATL-COLD_SATL-HOT`
## [1] 0.05276013
##
## $`SATL-COLD_Station24`
## [1] 0.04478316
##
## $`SATL-COLD_Station92`
## [1] 0.1145724
##
## $`SATL-COLD_WTRA`
## [1] 0.1049822
##
## $`SATL-HOT_BRAZ`
## [1] 0.2456477
##
## $`SATL-HOT_CNRY`
## [1] 0.1574646
##
## $`SATL-HOT_FKLD`
## [1] 0.2392797
##
## $`SATL-HOT_NADR`
## [1] 0.2457118
##
## $`SATL-HOT_NAST-E`
## [1] 0.1475586
##
## $`SATL-HOT_NATR`
## [1] 0.1513253
##
## $`SATL-HOT_SATL-COLD`
## [1] 0.05276013
##
## $`SATL-HOT_SATL-HOT`
## [1] 0
##
## $`SATL-HOT_Station24`
## [1] 0.07332464
##
## $`SATL-HOT_Station92`
## [1] 0.07176503
##
## $`SATL-HOT_WTRA`
## [1] 0.06083844
##
## $Station24_BRAZ
## [1] 0.1779868
##
## $Station24_CNRY
## [1] 0.09740441
##
## $Station24_FKLD
## [1] 0.1659888
##
## $Station24_NADR
## [1] 0.1820507
##
## $`Station24_NAST-E`
## [1] 0.1028692
##
## $Station24_NATR
## [1] 0.1305746
##
## $`Station24_SATL-COLD`
## [1] 0.04478316
##
## $`Station24_SATL-HOT`
## [1] 0.07332464
##
## $Station24_Station24
## [1] 0
##
## $Station24_Station92
## [1] 0.1078217
##
## $Station24_WTRA
## [1] 0.1013258
##
## $Station92_BRAZ
## [1] 0.239781
##
## $Station92_CNRY
## [1] 0.1485428
##
## $Station92_FKLD
## [1] 0.2585588
##
## $Station92_NADR
## [1] 0.2894505
##
## $`Station92_NAST-E`
## [1] 0.205344
##
## $Station92_NATR
## [1] 0.1027786
##
## $`Station92_SATL-COLD`
## [1] 0.1145724
##
## $`Station92_SATL-HOT`
## [1] 0.07176503
##
## $Station92_Station24
## [1] 0.1078217
##
## $Station92_Station92
## [1] 0
##
## $Station92_WTRA
## [1] 0.01109426
##
## $WTRA_BRAZ
## [1] 0.2410666
##
## $WTRA_CNRY
## [1] 0.1494686
##
## $WTRA_FKLD
## [1] 0.2560555
##
## $WTRA_NADR
## [1] 0.2833553
##
## $`WTRA_NAST-E`
## [1] 0.1968591
##
## $WTRA_NATR
## [1] 0.1100034
##
## $`WTRA_SATL-COLD`
## [1] 0.1049822
##
## $`WTRA_SATL-HOT`
## [1] 0.06083844
##
## $WTRA_Station24
## [1] 0.1013258
##
## $WTRA_Station92
## [1] 0.01109426
##
## $WTRA_WTRA
## [1] 0
## Permutation test for rda under reduced model
## Permutation: free
## Number of permutations: 999
##
## Model: rda(formula = ASV.clr.t.sort ~ SST + salinity + distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l. + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. + chlorophyll + altitude + azimuth, data = meta.wf.data)
## Df Variance F Pr(>F)
## Model 12 465.67 10.682 0.001 ***
## Residual 108 392.34
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] 0.542731
## Call: rda(formula = ASV.clr.t.sort ~ SST + salinity +
## distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l.
## + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. +
## chlorophyll + altitude + azimuth, data = meta.wf.data)
##
## Inertia Proportion Rank
## Total 343.2630 1.0000
## Constrained 220.0884 0.6412 12
## Unconstrained 123.1746 0.3588 58
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10 RDA11
## 133.06 47.88 15.46 11.72 4.85 2.52 1.66 1.09 0.91 0.48 0.26
## RDA12
## 0.20
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 32.40 21.45 10.93 8.41 6.16 4.66 4.32 3.46
## (Showing 8 of 58 unconstrained eigenvalues)
##
## [1] "mean distances of sites from centroids"
## # A tibble: 11 x 2
## province mean
## * <fct> <dbl>
## 1 BRAZ 0.0571
## 2 CNRY 0.0841
## 3 FKLD 0.0284
## 4 NADR 0.0283
## 5 NAST-E 0.0249
## 6 NATR 0.0256
## 7 SATL-COLD 0.0258
## 8 SATL-HOT 0.0311
## 9 Station24 0
## 10 Station92 0
## 11 WTRA 0.0598
## [1] "distances between high/low PP province"
## $BRAZ_BRAZ
## [1] 0
##
## $BRAZ_CNRY
## [1] 0.06584233
##
## $BRAZ_FKLD
## [1] 0.03474786
##
## $BRAZ_NADR
## [1] 0.07059743
##
## $`BRAZ_NAST-E`
## [1] 0.1856224
##
## $BRAZ_NATR
## [1] 0.1618059
##
## $`BRAZ_SATL-COLD`
## [1] 0.2218084
##
## $`BRAZ_SATL-HOT`
## [1] 0.2113061
##
## $BRAZ_Station24
## [1] 0.2222517
##
## $BRAZ_Station92
## [1] 0.2321051
##
## $BRAZ_WTRA
## [1] 0.2434729
##
## $CNRY_BRAZ
## [1] 0.06584233
##
## $CNRY_CNRY
## [1] 0
##
## $CNRY_FKLD
## [1] 0.04687971
##
## $CNRY_NADR
## [1] 0.1136606
##
## $`CNRY_NAST-E`
## [1] 0.1698931
##
## $CNRY_NATR
## [1] 0.1017896
##
## $`CNRY_SATL-COLD`
## [1] 0.1743244
##
## $`CNRY_SATL-HOT`
## [1] 0.1516779
##
## $CNRY_Station24
## [1] 0.1872376
##
## $CNRY_Station92
## [1] 0.1673489
##
## $CNRY_WTRA
## [1] 0.1798933
##
## $FKLD_BRAZ
## [1] 0.03474786
##
## $FKLD_CNRY
## [1] 0.04687971
##
## $FKLD_FKLD
## [1] 0
##
## $FKLD_NADR
## [1] 0.06703234
##
## $`FKLD_NAST-E`
## [1] 0.1542382
##
## $FKLD_NATR
## [1] 0.1486672
##
## $`FKLD_SATL-COLD`
## [1] 0.187246
##
## $`FKLD_SATL-HOT`
## [1] 0.1795713
##
## $FKLD_Station24
## [1] 0.1878398
##
## $FKLD_Station92
## [1] 0.212411
##
## $FKLD_WTRA
## [1] 0.2258471
##
## $NADR_BRAZ
## [1] 0.07059743
##
## $NADR_CNRY
## [1] 0.1136606
##
## $NADR_FKLD
## [1] 0.06703234
##
## $NADR_NADR
## [1] 0
##
## $`NADR_NAST-E`
## [1] 0.1465567
##
## $NADR_NATR
## [1] 0.215326
##
## $`NADR_SATL-COLD`
## [1] 0.2148902
##
## $`NADR_SATL-HOT`
## [1] 0.2248686
##
## $NADR_Station24
## [1] 0.1996321
##
## $NADR_Station92
## [1] 0.275743
##
## $NADR_WTRA
## [1] 0.2903665
##
## $`NAST-E_BRAZ`
## [1] 0.1856224
##
## $`NAST-E_CNRY`
## [1] 0.1698931
##
## $`NAST-E_FKLD`
## [1] 0.1542382
##
## $`NAST-E_NADR`
## [1] 0.1465567
##
## $`NAST-E_NAST-E`
## [1] 0
##
## $`NAST-E_NATR`
## [1] 0.2352995
##
## $`NAST-E_SATL-COLD`
## [1] 0.1060818
##
## $`NAST-E_SATL-HOT`
## [1] 0.1538914
##
## $`NAST-E_Station24`
## [1] 0.06643292
##
## $`NAST-E_Station92`
## [1] 0.2565875
##
## $`NAST-E_WTRA`
## [1] 0.2763867
##
## $NATR_BRAZ
## [1] 0.1618059
##
## $NATR_CNRY
## [1] 0.1017896
##
## $NATR_FKLD
## [1] 0.1486672
##
## $NATR_NADR
## [1] 0.215326
##
## $`NATR_NAST-E`
## [1] 0.2352995
##
## $NATR_NATR
## [1] 0
##
## $`NATR_SATL-COLD`
## [1] 0.1891556
##
## $`NATR_SATL-HOT`
## [1] 0.1355933
##
## $NATR_Station24
## [1] 0.2239064
##
## $NATR_Station92
## [1] 0.07813549
##
## $NATR_WTRA
## [1] 0.08429333
##
## $`SATL-COLD_BRAZ`
## [1] 0.2218084
##
## $`SATL-COLD_CNRY`
## [1] 0.1743244
##
## $`SATL-COLD_FKLD`
## [1] 0.187246
##
## $`SATL-COLD_NADR`
## [1] 0.2148902
##
## $`SATL-COLD_NAST-E`
## [1] 0.1060818
##
## $`SATL-COLD_NATR`
## [1] 0.1891556
##
## $`SATL-COLD_SATL-COLD`
## [1] 0
##
## $`SATL-COLD_SATL-HOT`
## [1] 0.06337667
##
## $`SATL-COLD_Station24`
## [1] 0.04937072
##
## $`SATL-COLD_Station92`
## [1] 0.1791403
##
## $`SATL-COLD_WTRA`
## [1] 0.1993936
##
## $`SATL-HOT_BRAZ`
## [1] 0.2113061
##
## $`SATL-HOT_CNRY`
## [1] 0.1516779
##
## $`SATL-HOT_FKLD`
## [1] 0.1795713
##
## $`SATL-HOT_NADR`
## [1] 0.2248686
##
## $`SATL-HOT_NAST-E`
## [1] 0.1538914
##
## $`SATL-HOT_NATR`
## [1] 0.1355933
##
## $`SATL-HOT_SATL-COLD`
## [1] 0.06337667
##
## $`SATL-HOT_SATL-HOT`
## [1] 0
##
## $`SATL-HOT_Station24`
## [1] 0.1104001
##
## $`SATL-HOT_Station92`
## [1] 0.1158528
##
## $`SATL-HOT_WTRA`
## [1] 0.1360662
##
## $Station24_BRAZ
## [1] 0.2222517
##
## $Station24_CNRY
## [1] 0.1872376
##
## $Station24_FKLD
## [1] 0.1878398
##
## $Station24_NADR
## [1] 0.1996321
##
## $`Station24_NAST-E`
## [1] 0.06643292
##
## $Station24_NATR
## [1] 0.2239064
##
## $`Station24_SATL-COLD`
## [1] 0.04937072
##
## $`Station24_SATL-HOT`
## [1] 0.1104001
##
## $Station24_Station24
## [1] 0
##
## $Station24_Station92
## [1] 0.2245435
##
## $Station24_WTRA
## [1] 0.2448864
##
## $Station92_BRAZ
## [1] 0.2321051
##
## $Station92_CNRY
## [1] 0.1673489
##
## $Station92_FKLD
## [1] 0.212411
##
## $Station92_NADR
## [1] 0.275743
##
## $`Station92_NAST-E`
## [1] 0.2565875
##
## $Station92_NATR
## [1] 0.07813549
##
## $`Station92_SATL-COLD`
## [1] 0.1791403
##
## $`Station92_SATL-HOT`
## [1] 0.1158528
##
## $Station92_Station24
## [1] 0.2245435
##
## $Station92_Station92
## [1] 0
##
## $Station92_WTRA
## [1] 0.02034297
##
## $WTRA_BRAZ
## [1] 0.2434729
##
## $WTRA_CNRY
## [1] 0.1798933
##
## $WTRA_FKLD
## [1] 0.2258471
##
## $WTRA_NADR
## [1] 0.2903665
##
## $`WTRA_NAST-E`
## [1] 0.2763867
##
## $WTRA_NATR
## [1] 0.08429333
##
## $`WTRA_SATL-COLD`
## [1] 0.1993936
##
## $`WTRA_SATL-HOT`
## [1] 0.1360662
##
## $WTRA_Station24
## [1] 0.2448864
##
## $WTRA_Station92
## [1] 0.02034297
##
## $WTRA_WTRA
## [1] 0
## Permutation test for rda under reduced model
## Permutation: free
## Number of permutations: 999
##
## Model: rda(formula = ASV.clr.t.sort ~ SST + salinity + distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l. + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. + chlorophyll + altitude + azimuth, data = meta.wf.data)
## Df Variance F Pr(>F)
## Model 12 220.09 16.081 0.001 ***
## Residual 108 123.17
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] 0.6411655
## Call: rda(formula = ASV.clr.t.sort ~ SST + salinity +
## distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l.
## + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. +
## chlorophyll + altitude + azimuth, data = meta.wf.data)
##
## Inertia Proportion Rank
## Total 171.2932 1.0000
## Constrained 86.7617 0.5065 12
## Unconstrained 84.5316 0.4935 55
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10 RDA11 RDA12
## 41.52 19.34 8.59 4.88 4.45 3.18 1.58 1.26 0.67 0.66 0.34 0.28
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 12.224 11.250 7.087 4.911 4.043 3.595 3.296 2.975
## (Showing 8 of 55 unconstrained eigenvalues)
##
## [1] "mean distances of sites from centroids"
## # A tibble: 11 x 2
## province mean
## * <fct> <dbl>
## 1 BRAZ 0.0656
## 2 CNRY 0.0584
## 3 FKLD 0.0166
## 4 NADR 0.0346
## 5 NAST-E 0.0369
## 6 NATR 0.0322
## 7 SATL-COLD 0.0299
## 8 SATL-HOT 0.0324
## 9 Station24 0
## 10 Station92 0
## 11 WTRA 0.0588
## [1] "distances between high/low PP province"
## $BRAZ_BRAZ
## [1] 0
##
## $BRAZ_CNRY
## [1] 0.09005413
##
## $BRAZ_FKLD
## [1] 0.04557466
##
## $BRAZ_NADR
## [1] 0.1122421
##
## $`BRAZ_NAST-E`
## [1] 0.1744032
##
## $BRAZ_NATR
## [1] 0.1289371
##
## $`BRAZ_SATL-COLD`
## [1] 0.1977782
##
## $`BRAZ_SATL-HOT`
## [1] 0.2097399
##
## $BRAZ_Station24
## [1] 0.2289646
##
## $BRAZ_Station92
## [1] 0.1850615
##
## $BRAZ_WTRA
## [1] 0.1916724
##
## $CNRY_BRAZ
## [1] 0.09005413
##
## $CNRY_CNRY
## [1] 0
##
## $CNRY_FKLD
## [1] 0.04542087
##
## $CNRY_NADR
## [1] 0.156284
##
## $`CNRY_NAST-E`
## [1] 0.1008408
##
## $CNRY_NATR
## [1] 0.09561091
##
## $`CNRY_SATL-COLD`
## [1] 0.1078467
##
## $`CNRY_SATL-HOT`
## [1] 0.1299028
##
## $CNRY_Station24
## [1] 0.1398011
##
## $CNRY_Station92
## [1] 0.1539934
##
## $CNRY_WTRA
## [1] 0.1934524
##
## $FKLD_BRAZ
## [1] 0.04557466
##
## $FKLD_CNRY
## [1] 0.04542087
##
## $FKLD_FKLD
## [1] 0
##
## $FKLD_NADR
## [1] 0.1228678
##
## $`FKLD_NAST-E`
## [1] 0.1315715
##
## $FKLD_NATR
## [1] 0.1101782
##
## $`FKLD_SATL-COLD`
## [1] 0.1531813
##
## $`FKLD_SATL-HOT`
## [1] 0.1715038
##
## $FKLD_Station24
## [1] 0.1834227
##
## $FKLD_Station92
## [1] 0.1702635
##
## $FKLD_WTRA
## [1] 0.193754
##
## $NADR_BRAZ
## [1] 0.1122421
##
## $NADR_CNRY
## [1] 0.156284
##
## $NADR_FKLD
## [1] 0.1228678
##
## $NADR_NADR
## [1] 0
##
## $`NADR_NAST-E`
## [1] 0.1815495
##
## $NADR_NATR
## [1] 0.2321196
##
## $`NADR_SATL-COLD`
## [1] 0.2480975
##
## $`NADR_SATL-HOT`
## [1] 0.2852662
##
## $NADR_Station24
## [1] 0.2624511
##
## $NADR_Station92
## [1] 0.2914926
##
## $NADR_WTRA
## [1] 0.3038786
##
## $`NAST-E_BRAZ`
## [1] 0.1744032
##
## $`NAST-E_CNRY`
## [1] 0.1008408
##
## $`NAST-E_FKLD`
## [1] 0.1315715
##
## $`NAST-E_NADR`
## [1] 0.1815495
##
## $`NAST-E_NAST-E`
## [1] 0
##
## $`NAST-E_NATR`
## [1] 0.1846998
##
## $`NAST-E_SATL-COLD`
## [1] 0.09188748
##
## $`NAST-E_SATL-HOT`
## [1] 0.1555172
##
## $`NAST-E_Station24`
## [1] 0.08609624
##
## $`NAST-E_Station92`
## [1] 0.2346996
##
## $`NAST-E_WTRA`
## [1] 0.2868069
##
## $NATR_BRAZ
## [1] 0.1289371
##
## $NATR_CNRY
## [1] 0.09561091
##
## $NATR_FKLD
## [1] 0.1101782
##
## $NATR_NADR
## [1] 0.2321196
##
## $`NATR_NAST-E`
## [1] 0.1846998
##
## $NATR_NATR
## [1] 0
##
## $`NATR_SATL-COLD`
## [1] 0.1416493
##
## $`NATR_SATL-HOT`
## [1] 0.1107877
##
## $NATR_Station24
## [1] 0.1855698
##
## $NATR_Station92
## [1] 0.06028452
##
## $NATR_WTRA
## [1] 0.1022495
##
## $`SATL-COLD_BRAZ`
## [1] 0.1977782
##
## $`SATL-COLD_CNRY`
## [1] 0.1078467
##
## $`SATL-COLD_FKLD`
## [1] 0.1531813
##
## $`SATL-COLD_NADR`
## [1] 0.2480975
##
## $`SATL-COLD_NAST-E`
## [1] 0.09188748
##
## $`SATL-COLD_NATR`
## [1] 0.1416493
##
## $`SATL-COLD_SATL-COLD`
## [1] 0
##
## $`SATL-COLD_SATL-HOT`
## [1] 0.06816535
##
## $`SATL-COLD_Station24`
## [1] 0.0443501
##
## $`SATL-COLD_Station92`
## [1] 0.1735261
##
## $`SATL-COLD_WTRA`
## [1] 0.2381359
##
## $`SATL-HOT_BRAZ`
## [1] 0.2097399
##
## $`SATL-HOT_CNRY`
## [1] 0.1299028
##
## $`SATL-HOT_FKLD`
## [1] 0.1715038
##
## $`SATL-HOT_NADR`
## [1] 0.2852662
##
## $`SATL-HOT_NAST-E`
## [1] 0.1555172
##
## $`SATL-HOT_NATR`
## [1] 0.1107877
##
## $`SATL-HOT_SATL-COLD`
## [1] 0.06816535
##
## $`SATL-HOT_SATL-HOT`
## [1] 0
##
## $`SATL-HOT_Station24`
## [1] 0.1057968
##
## $`SATL-HOT_Station92`
## [1] 0.1204412
##
## $`SATL-HOT_WTRA`
## [1] 0.1903798
##
## $Station24_BRAZ
## [1] 0.2289646
##
## $Station24_CNRY
## [1] 0.1398011
##
## $Station24_FKLD
## [1] 0.1834227
##
## $Station24_NADR
## [1] 0.2624511
##
## $`Station24_NAST-E`
## [1] 0.08609624
##
## $Station24_NATR
## [1] 0.1855698
##
## $`Station24_SATL-COLD`
## [1] 0.0443501
##
## $`Station24_SATL-HOT`
## [1] 0.1057968
##
## $Station24_Station24
## [1] 0
##
## $Station24_Station92
## [1] 0.2173768
##
## $Station24_WTRA
## [1] 0.2824744
##
## $Station92_BRAZ
## [1] 0.1850615
##
## $Station92_CNRY
## [1] 0.1539934
##
## $Station92_FKLD
## [1] 0.1702635
##
## $Station92_NADR
## [1] 0.2914926
##
## $`Station92_NAST-E`
## [1] 0.2346996
##
## $Station92_NATR
## [1] 0.06028452
##
## $`Station92_SATL-COLD`
## [1] 0.1735261
##
## $`Station92_SATL-HOT`
## [1] 0.1204412
##
## $Station92_Station24
## [1] 0.2173768
##
## $Station92_Station92
## [1] 0
##
## $Station92_WTRA
## [1] 0.07086334
##
## $WTRA_BRAZ
## [1] 0.1916724
##
## $WTRA_CNRY
## [1] 0.1934524
##
## $WTRA_FKLD
## [1] 0.193754
##
## $WTRA_NADR
## [1] 0.3038786
##
## $`WTRA_NAST-E`
## [1] 0.2868069
##
## $WTRA_NATR
## [1] 0.1022495
##
## $`WTRA_SATL-COLD`
## [1] 0.2381359
##
## $`WTRA_SATL-HOT`
## [1] 0.1903798
##
## $WTRA_Station24
## [1] 0.2824744
##
## $WTRA_Station92
## [1] 0.07086334
##
## $WTRA_WTRA
## [1] 0
## Permutation test for rda under reduced model
## Permutation: free
## Number of permutations: 999
##
## Model: rda(formula = ASV.clr.t.sort ~ SST + salinity + distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l. + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. + chlorophyll + altitude + azimuth, data = meta.wf.data)
## Df Variance F Pr(>F)
## Model 12 86.762 9.2374 0.001 ***
## Residual 108 84.532
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] 0.5065096
## Call: rda(formula = ASV.clr.t.sort ~ SST + salinity +
## distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l.
## + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. +
## chlorophyll + altitude + azimuth, data = meta.wf.data)
##
## Inertia Proportion Rank
## Total 2391.2179 1.0000
## Constrained 1056.7666 0.4419 12
## Unconstrained 1334.4513 0.5581 108
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10 RDA11 RDA12
## 427.0 181.8 131.5 89.4 82.4 44.3 33.4 21.3 18.0 11.2 8.7 7.7
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 196.90 105.31 70.24 55.80 54.61 47.74 37.70 35.14
## (Showing 8 of 108 unconstrained eigenvalues)
##
## [1] "mean distances of sites from centroids"
## # A tibble: 11 x 2
## province mean
## * <fct> <dbl>
## 1 BRAZ 0.0585
## 2 CNRY 0.0704
## 3 FKLD 0.0287
## 4 NADR 0.0242
## 5 NAST-E 0.0137
## 6 NATR 0.0446
## 7 SATL-COLD 0.0374
## 8 SATL-HOT 0.0329
## 9 Station24 0
## 10 Station92 0
## 11 WTRA 0.0583
## [1] "distances between high/low PP province"
## $BRAZ_BRAZ
## [1] 0
##
## $BRAZ_CNRY
## [1] 0.09474605
##
## $BRAZ_FKLD
## [1] 0.06360947
##
## $BRAZ_NADR
## [1] 0.08572089
##
## $`BRAZ_NAST-E`
## [1] 0.196927
##
## $BRAZ_NATR
## [1] 0.1518823
##
## $`BRAZ_SATL-COLD`
## [1] 0.2088122
##
## $`BRAZ_SATL-HOT`
## [1] 0.2605315
##
## $BRAZ_Station24
## [1] 0.1870998
##
## $BRAZ_Station92
## [1] 0.2339766
##
## $BRAZ_WTRA
## [1] 0.2459185
##
## $CNRY_BRAZ
## [1] 0.09474605
##
## $CNRY_CNRY
## [1] 0
##
## $CNRY_FKLD
## [1] 0.06239775
##
## $CNRY_NADR
## [1] 0.09984299
##
## $`CNRY_NAST-E`
## [1] 0.1234617
##
## $CNRY_NATR
## [1] 0.1135349
##
## $`CNRY_SATL-COLD`
## [1] 0.1163207
##
## $`CNRY_SATL-HOT`
## [1] 0.1658735
##
## $CNRY_Station24
## [1] 0.1015087
##
## $CNRY_Station92
## [1] 0.1709937
##
## $CNRY_WTRA
## [1] 0.1936017
##
## $FKLD_BRAZ
## [1] 0.06360947
##
## $FKLD_CNRY
## [1] 0.06239775
##
## $FKLD_FKLD
## [1] 0
##
## $FKLD_NADR
## [1] 0.04011733
##
## $`FKLD_NAST-E`
## [1] 0.1351507
##
## $FKLD_NATR
## [1] 0.1636771
##
## $`FKLD_SATL-COLD`
## [1] 0.1580855
##
## $`FKLD_SATL-HOT`
## [1] 0.2181232
##
## $FKLD_Station24
## [1] 0.1306556
##
## $FKLD_Station92
## [1] 0.2312422
##
## $FKLD_WTRA
## [1] 0.251249
##
## $NADR_BRAZ
## [1] 0.08572089
##
## $NADR_CNRY
## [1] 0.09984299
##
## $NADR_FKLD
## [1] 0.04011733
##
## $NADR_NADR
## [1] 0
##
## $`NADR_NAST-E`
## [1] 0.1391792
##
## $NADR_NATR
## [1] 0.2037628
##
## $`NADR_SATL-COLD`
## [1] 0.1783408
##
## $`NADR_SATL-HOT`
## [1] 0.2432495
##
## $NADR_Station24
## [1] 0.1456302
##
## $NADR_Station92
## [1] 0.2703484
##
## $NADR_WTRA
## [1] 0.2910877
##
## $`NAST-E_BRAZ`
## [1] 0.196927
##
## $`NAST-E_CNRY`
## [1] 0.1234617
##
## $`NAST-E_FKLD`
## [1] 0.1351507
##
## $`NAST-E_NADR`
## [1] 0.1391792
##
## $`NAST-E_NAST-E`
## [1] 0
##
## $`NAST-E_NATR`
## [1] 0.2215116
##
## $`NAST-E_SATL-COLD`
## [1] 0.07174402
##
## $`NAST-E_SATL-HOT`
## [1] 0.1379642
##
## $`NAST-E_Station24`
## [1] 0.03867135
##
## $`NAST-E_Station92`
## [1] 0.2439272
##
## $`NAST-E_WTRA`
## [1] 0.275562
##
## $NATR_BRAZ
## [1] 0.1518823
##
## $NATR_CNRY
## [1] 0.1135349
##
## $NATR_FKLD
## [1] 0.1636771
##
## $NATR_NADR
## [1] 0.2037628
##
## $`NATR_NAST-E`
## [1] 0.2215116
##
## $NATR_NATR
## [1] 0
##
## $`NATR_SATL-COLD`
## [1] 0.1807059
##
## $`NATR_SATL-HOT`
## [1] 0.1904544
##
## $NATR_Station24
## [1] 0.188135
##
## $NATR_Station92
## [1] 0.08763472
##
## $NATR_WTRA
## [1] 0.09419016
##
## $`SATL-COLD_BRAZ`
## [1] 0.2088122
##
## $`SATL-COLD_CNRY`
## [1] 0.1163207
##
## $`SATL-COLD_FKLD`
## [1] 0.1580855
##
## $`SATL-COLD_NADR`
## [1] 0.1783408
##
## $`SATL-COLD_NAST-E`
## [1] 0.07174402
##
## $`SATL-COLD_NATR`
## [1] 0.1807059
##
## $`SATL-COLD_SATL-COLD`
## [1] 0
##
## $`SATL-COLD_SATL-HOT`
## [1] 0.06907199
##
## $`SATL-COLD_Station24`
## [1] 0.03761293
##
## $`SATL-COLD_Station92`
## [1] 0.1823918
##
## $`SATL-COLD_WTRA`
## [1] 0.21589
##
## $`SATL-HOT_BRAZ`
## [1] 0.2605315
##
## $`SATL-HOT_CNRY`
## [1] 0.1658735
##
## $`SATL-HOT_FKLD`
## [1] 0.2181232
##
## $`SATL-HOT_NADR`
## [1] 0.2432495
##
## $`SATL-HOT_NAST-E`
## [1] 0.1379642
##
## $`SATL-HOT_NATR`
## [1] 0.1904544
##
## $`SATL-HOT_SATL-COLD`
## [1] 0.06907199
##
## $`SATL-HOT_SATL-HOT`
## [1] 0
##
## $`SATL-HOT_Station24`
## [1] 0.1066527
##
## $`SATL-HOT_Station92`
## [1] 0.1588125
##
## $`SATL-HOT_WTRA`
## [1] 0.1930927
##
## $Station24_BRAZ
## [1] 0.1870998
##
## $Station24_CNRY
## [1] 0.1015087
##
## $Station24_FKLD
## [1] 0.1306556
##
## $Station24_NADR
## [1] 0.1456302
##
## $`Station24_NAST-E`
## [1] 0.03867135
##
## $Station24_NATR
## [1] 0.188135
##
## $`Station24_SATL-COLD`
## [1] 0.03761293
##
## $`Station24_SATL-HOT`
## [1] 0.1066527
##
## $Station24_Station24
## [1] 0
##
## $Station24_Station92
## [1] 0.20557
##
## $Station24_WTRA
## [1] 0.2375385
##
## $Station92_BRAZ
## [1] 0.2339766
##
## $Station92_CNRY
## [1] 0.1709937
##
## $Station92_FKLD
## [1] 0.2312422
##
## $Station92_NADR
## [1] 0.2703484
##
## $`Station92_NAST-E`
## [1] 0.2439272
##
## $Station92_NATR
## [1] 0.08763472
##
## $`Station92_SATL-COLD`
## [1] 0.1823918
##
## $`Station92_SATL-HOT`
## [1] 0.1588125
##
## $Station92_Station24
## [1] 0.20557
##
## $Station92_Station92
## [1] 0
##
## $Station92_WTRA
## [1] 0.03449035
##
## $WTRA_BRAZ
## [1] 0.2459185
##
## $WTRA_CNRY
## [1] 0.1936017
##
## $WTRA_FKLD
## [1] 0.251249
##
## $WTRA_NADR
## [1] 0.2910877
##
## $`WTRA_NAST-E`
## [1] 0.275562
##
## $WTRA_NATR
## [1] 0.09419016
##
## $`WTRA_SATL-COLD`
## [1] 0.21589
##
## $`WTRA_SATL-HOT`
## [1] 0.1930927
##
## $WTRA_Station24
## [1] 0.2375385
##
## $WTRA_Station92
## [1] 0.03449035
##
## $WTRA_WTRA
## [1] 0
## Permutation test for rda under reduced model
## Permutation: free
## Number of permutations: 999
##
## Model: rda(formula = ASV.clr.t.sort ~ SST + salinity + distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l. + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. + chlorophyll + altitude + azimuth, data = meta.wf.data)
## Df Variance F Pr(>F)
## Model 12 1056.8 7.1272 0.001 ***
## Residual 108 1334.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] 0.4419366
## Call: rda(formula = ASV.clr.t.sort ~ SST + salinity +
## distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l.
## + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. +
## chlorophyll + altitude + azimuth, data = meta.wf.data)
##
## Inertia Proportion Rank
## Total 4734.8559 1.0000
## Constrained 2774.1390 0.5859 12
## Unconstrained 1960.7169 0.4141 108
## Inertia is variance
##
## Eigenvalues for constrained axes:
## RDA1 RDA2 RDA3 RDA4 RDA5 RDA6 RDA7 RDA8 RDA9 RDA10 RDA11
## 1520.5 404.5 334.9 175.0 145.8 65.5 38.8 29.7 21.8 15.6 11.5
## RDA12
## 10.5
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8
## 483.0 169.4 152.7 79.4 70.3 62.0 56.1 48.8
## (Showing 8 of 108 unconstrained eigenvalues)
##
## [1] "mean distances of sites from centroids"
## # A tibble: 11 x 2
## province mean
## * <fct> <dbl>
## 1 BRAZ 0.0418
## 2 CNRY 0.0796
## 3 FKLD 0.0414
## 4 NADR 0.0275
## 5 NAST-E 0.0495
## 6 NATR 0.0425
## 7 SATL-COLD 0.0350
## 8 SATL-HOT 0.0389
## 9 Station24 0
## 10 Station92 0
## 11 WTRA 0.0423
## [1] "distances between high/low PP province"
## $BRAZ_BRAZ
## [1] 0
##
## $BRAZ_CNRY
## [1] 0.1350259
##
## $BRAZ_FKLD
## [1] 0.111809
##
## $BRAZ_NADR
## [1] 0.04082605
##
## $`BRAZ_NAST-E`
## [1] 0.0819547
##
## $BRAZ_NATR
## [1] 0.2178716
##
## $`BRAZ_SATL-COLD`
## [1] 0.17307
##
## $`BRAZ_SATL-HOT`
## [1] 0.1997321
##
## $BRAZ_Station24
## [1] 0.1204502
##
## $BRAZ_Station92
## [1] 0.2499066
##
## $BRAZ_WTRA
## [1] 0.2481492
##
## $CNRY_BRAZ
## [1] 0.1350259
##
## $CNRY_CNRY
## [1] 0
##
## $CNRY_FKLD
## [1] 0.2293027
##
## $CNRY_NADR
## [1] 0.1758032
##
## $`CNRY_NAST-E`
## [1] 0.1644036
##
## $CNRY_NATR
## [1] 0.09379554
##
## $`CNRY_SATL-COLD`
## [1] 0.2042944
##
## $`CNRY_SATL-HOT`
## [1] 0.16301
##
## $CNRY_Station24
## [1] 0.1462429
##
## $CNRY_Station92
## [1] 0.1643611
##
## $CNRY_WTRA
## [1] 0.2057638
##
## $FKLD_BRAZ
## [1] 0.111809
##
## $FKLD_CNRY
## [1] 0.2293027
##
## $FKLD_FKLD
## [1] 0
##
## $FKLD_NADR
## [1] 0.08901738
##
## $`FKLD_NAST-E`
## [1] 0.073328
##
## $FKLD_NATR
## [1] 0.2924188
##
## $`FKLD_SATL-COLD`
## [1] 0.1409201
##
## $`FKLD_SATL-HOT`
## [1] 0.2151575
##
## $FKLD_Station24
## [1] 0.1280154
##
## $FKLD_Station92
## [1] 0.2893493
##
## $FKLD_WTRA
## [1] 0.2545043
##
## $NADR_BRAZ
## [1] 0.04082605
##
## $NADR_CNRY
## [1] 0.1758032
##
## $NADR_FKLD
## [1] 0.08901738
##
## $NADR_NADR
## [1] 0
##
## $`NADR_NAST-E`
## [1] 0.09014844
##
## $NADR_NATR
## [1] 0.2580021
##
## $`NADR_SATL-COLD`
## [1] 0.1853294
##
## $`NADR_SATL-HOT`
## [1] 0.227645
##
## $NADR_Station24
## [1] 0.1418313
##
## $NADR_Station92
## [1] 0.2846262
##
## $NADR_WTRA
## [1] 0.2747602
##
## $`NAST-E_BRAZ`
## [1] 0.0819547
##
## $`NAST-E_CNRY`
## [1] 0.1644036
##
## $`NAST-E_FKLD`
## [1] 0.073328
##
## $`NAST-E_NADR`
## [1] 0.09014844
##
## $`NAST-E_NAST-E`
## [1] 0
##
## $`NAST-E_NATR`
## [1] 0.2199759
##
## $`NAST-E_SATL-COLD`
## [1] 0.0952133
##
## $`NAST-E_SATL-HOT`
## [1] 0.1482389
##
## $`NAST-E_Station24`
## [1] 0.05876246
##
## $`NAST-E_Station92`
## [1] 0.2179625
##
## $`NAST-E_WTRA`
## [1] 0.1919901
##
## $NATR_BRAZ
## [1] 0.2178716
##
## $NATR_CNRY
## [1] 0.09379554
##
## $NATR_FKLD
## [1] 0.2924188
##
## $NATR_NADR
## [1] 0.2580021
##
## $`NATR_NAST-E`
## [1] 0.2199759
##
## $NATR_NATR
## [1] 0
##
## $`NATR_SATL-COLD`
## [1] 0.2199167
##
## $`NATR_SATL-HOT`
## [1] 0.1420305
##
## $NATR_Station24
## [1] 0.1781908
##
## $NATR_Station92
## [1] 0.09684651
##
## $NATR_WTRA
## [1] 0.1666589
##
## $`SATL-COLD_BRAZ`
## [1] 0.17307
##
## $`SATL-COLD_CNRY`
## [1] 0.2042944
##
## $`SATL-COLD_FKLD`
## [1] 0.1409201
##
## $`SATL-COLD_NADR`
## [1] 0.1853294
##
## $`SATL-COLD_NAST-E`
## [1] 0.0952133
##
## $`SATL-COLD_NATR`
## [1] 0.2199167
##
## $`SATL-COLD_SATL-COLD`
## [1] 0
##
## $`SATL-COLD_SATL-HOT`
## [1] 0.09343476
##
## $`SATL-COLD_Station24`
## [1] 0.06129151
##
## $`SATL-COLD_Station92`
## [1] 0.175991
##
## $`SATL-COLD_WTRA`
## [1] 0.119891
##
## $`SATL-HOT_BRAZ`
## [1] 0.1997321
##
## $`SATL-HOT_CNRY`
## [1] 0.16301
##
## $`SATL-HOT_FKLD`
## [1] 0.2151575
##
## $`SATL-HOT_NADR`
## [1] 0.227645
##
## $`SATL-HOT_NAST-E`
## [1] 0.1482389
##
## $`SATL-HOT_NATR`
## [1] 0.1420305
##
## $`SATL-HOT_SATL-COLD`
## [1] 0.09343476
##
## $`SATL-HOT_SATL-HOT`
## [1] 0
##
## $`SATL-HOT_Station24`
## [1] 0.08948328
##
## $`SATL-HOT_Station92`
## [1] 0.08257144
##
## $`SATL-HOT_WTRA`
## [1] 0.04892161
##
## $Station24_BRAZ
## [1] 0.1204502
##
## $Station24_CNRY
## [1] 0.1462429
##
## $Station24_FKLD
## [1] 0.1280154
##
## $Station24_NADR
## [1] 0.1418313
##
## $`Station24_NAST-E`
## [1] 0.05876246
##
## $Station24_NATR
## [1] 0.1781908
##
## $`Station24_SATL-COLD`
## [1] 0.06129151
##
## $`Station24_SATL-HOT`
## [1] 0.08948328
##
## $Station24_Station24
## [1] 0
##
## $Station24_Station92
## [1] 0.1613934
##
## $Station24_WTRA
## [1] 0.1340738
##
## $Station92_BRAZ
## [1] 0.2499066
##
## $Station92_CNRY
## [1] 0.1643611
##
## $Station92_FKLD
## [1] 0.2893493
##
## $Station92_NADR
## [1] 0.2846262
##
## $`Station92_NAST-E`
## [1] 0.2179625
##
## $Station92_NATR
## [1] 0.09684651
##
## $`Station92_SATL-COLD`
## [1] 0.175991
##
## $`Station92_SATL-HOT`
## [1] 0.08257144
##
## $Station92_Station24
## [1] 0.1613934
##
## $Station92_Station92
## [1] 0
##
## $Station92_WTRA
## [1] 0.08086013
##
## $WTRA_BRAZ
## [1] 0.2481492
##
## $WTRA_CNRY
## [1] 0.2057638
##
## $WTRA_FKLD
## [1] 0.2545043
##
## $WTRA_NADR
## [1] 0.2747602
##
## $`WTRA_NAST-E`
## [1] 0.1919901
##
## $WTRA_NATR
## [1] 0.1666589
##
## $`WTRA_SATL-COLD`
## [1] 0.119891
##
## $`WTRA_SATL-HOT`
## [1] 0.04892161
##
## $WTRA_Station24
## [1] 0.1340738
##
## $WTRA_Station92
## [1] 0.08086013
##
## $WTRA_WTRA
## [1] 0
## Permutation test for rda under reduced model
## Permutation: free
## Number of permutations: 999
##
## Model: rda(formula = ASV.clr.t.sort ~ SST + salinity + distance_to_province_boundary.km. + Distance_coast.km. + oxygen.umol.l. + NO3_umol.l + PO4_umol.l + Total.N..nmol.L. + Total.C..nmol.L. + chlorophyll + altitude + azimuth, data = meta.wf.data)
## Df Variance F Pr(>F)
## Model 12 2774.1 12.734 0.001 ***
## Residual 108 1960.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] 0.5858972










source("C:/Users/choerstm/Documents/core_PS113/Genomics/RScripts/procrustes_RDA.R")
##
## Call:
## procrustes(X = RDA_meta_autoeuk, Y = RDA_meta_autoprok)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 284.0543
## Procrustes root mean squared error:
## 1.532174
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.04660017 0.74470228 1.10494466 1.59738381 3.72292289
##
## Rotation matrix:
## [,1] [,2]
## [1,] 0.99731623 0.07321434
## [2,] -0.07321434 0.99731623
##
## Translation of averages:
## [,1] [,2]
## [1,] -1.38979e-16 1.502036e-16
##
## Scaling of target:
## [1] 1.046018
##
##
## Call:
## procrustes(X = RDA_meta_autoeuk, Y = RDA_mixo)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 498.2499
## Procrustes root mean squared error:
## 2.029228
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.2146121 1.0367862 1.6205343 2.3344760 4.2842461
##
## Rotation matrix:
## [,1] [,2]
## [1,] -0.8538392 0.5205369
## [2,] 0.5205369 0.8538392
##
## Translation of averages:
## [,1] [,2]
## [1,] -8.988767e-17 1.060911e-16
##
## Scaling of target:
## [1] 0.9578508
##
##
## Call:
## procrustes(X = RDA_meta_autoeuk, Y = RDA_heteuk)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 281.9448
## Procrustes root mean squared error:
## 1.526474
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.2160351 0.7670926 1.1809898 1.8439369 3.0814324
##
## Rotation matrix:
## [,1] [,2]
## [1,] 0.99923265 -0.03916778
## [2,] 0.03916778 0.99923265
##
## Translation of averages:
## [,1] [,2]
## [1,] -1.323376e-16 -9.267717e-17
##
## Scaling of target:
## [1] 0.642042
##
##
## Call:
## procrustes(X = RDA_meta_autoeuk, Y = RDA_hetprok)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 182.2156
## Procrustes root mean squared error:
## 1.227157
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.02882895 0.39719298 0.78175671 1.41728344 3.18014983
##
## Rotation matrix:
## [,1] [,2]
## [1,] 0.99980000 -0.01999875
## [2,] 0.01999875 0.99980000
##
## Translation of averages:
## [,1] [,2]
## [1,] 1.358923e-16 -1.365193e-16
##
## Scaling of target:
## [1] 0.5696676
##
##
## Call:
## procrustes(X = RDA_mixo, Y = RDA_meta_autoprok)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 99.89712
## Procrustes root mean squared error:
## 0.9086231
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.02435698 0.39610283 0.73182907 1.14670469 1.67876386
##
## Rotation matrix:
## [,1] [,2]
## [1,] -0.9032267 0.4291637
## [2,] 0.4291637 0.9032267
##
## Translation of averages:
## [,1] [,2]
## [1,] 3.923019e-17 6.132705e-20
##
## Scaling of target:
## [1] 0.718806
##
##
## Call:
## procrustes(X = RDA_mixo, Y = RDA_heteuk)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 89.94109
## Procrustes root mean squared error:
## 0.862157
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.06257738 0.41636444 0.61632174 0.96538773 2.16214597
##
## Rotation matrix:
## [,1] [,2]
## [1,] -0.9656681 0.2597790
## [2,] 0.2597790 0.9656681
##
## Translation of averages:
## [,1] [,2]
## [1,] -1.82302e-17 -1.576664e-16
##
## Scaling of target:
## [1] 0.4488599
##
##
## Call:
## procrustes(X = RDA_mixo, Y = RDA_hetprok)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 259.6793
## Procrustes root mean squared error:
## 1.464961
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.2978063 0.9019145 1.2785706 1.8059026 2.6899469
##
## Rotation matrix:
## [,1] [,2]
## [1,] -0.9406828 0.3392873
## [2,] 0.3392873 0.9406828
##
## Translation of averages:
## [,1] [,2]
## [1,] -1.140911e-16 -8.426021e-17
##
## Scaling of target:
## [1] 0.2192863
##
##
## Call:
## procrustes(X = RDA_heteuk, Y = RDA_meta_autoprok)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 291.5543
## Procrustes root mean squared error:
## 1.552269
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.09634701 0.85648209 1.31230100 1.91399109 3.18121830
##
## Rotation matrix:
## [,1] [,2]
## [1,] 0.9874982 0.1576302
## [2,] -0.1576302 0.9874982
##
## Translation of averages:
## [,1] [,2]
## [1,] -2.522429e-17 3.620665e-16
##
## Scaling of target:
## [1] 1.439985
##
##
## Call:
## procrustes(X = RDA_heteuk, Y = RDA_hetprok)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 559.4055
## Procrustes root mean squared error:
## 2.15016
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.4737693 1.3786705 1.9304429 2.4262950 4.1121929
##
## Rotation matrix:
## [,1] [,2]
## [1,] 0.99852602 -0.05427513
## [2,] 0.05427513 0.99852602
##
## Translation of averages:
## [,1] [,2]
## [1,] 2.805981e-16 2.234791e-17
##
## Scaling of target:
## [1] 0.6179586
##
##
## Call:
## procrustes(X = RDA_meta_autoprok, Y = RDA_hetprok)
##
## Number of objects: 121 Number of dimensions: 2
##
## Procrustes sum of squares:
## 208.9777
## Procrustes root mean squared error:
## 1.314187
## Quantiles of Procrustes errors:
## Min 1Q Median 3Q Max
## 0.1026728 0.4383279 0.9620290 1.7043480 2.7731893
##
## Rotation matrix:
## [,1] [,2]
## [1,] 0.9787671 -0.2049756
## [2,] 0.2049756 0.9787671
##
## Translation of averages:
## [,1] [,2]
## [1,] 1.554134e-16 -2.433344e-16
##
## Scaling of target:
## [1] 0.3791993
## Warning: Removed 6 rows containing non-finite values (stat_contour).
## Warning: Removed 2 rows containing missing values (geom_point).

